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Natural Language Processing (NLP) & Text Mining Tutorial Using NLTK | NLP Training | Edureka
 
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** NLP Using Python: - https://www.edureka.co/python-natural-language-processing-course ** This Edureka video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and much more along with a demo on each one of the topics. The following topics covered in this video : 1. The Evolution of Human Language 2. What is Text Mining? 3. What is Natural Language Processing? 4. Applications of NLP 5. NLP Components and Demo Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV --------------------------------------------------------------------------------------------------------- Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_learning/ --------------------------------------------------------------------------------------------------------- - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed. This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience. -------------------------- Who Should go for this course ? Edureka’s NLP Training is a good fit for the below professionals: From a college student having exposure to programming to a technical architect/lead in an organisation Developers aspiring to be a ‘Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Text Mining Techniques 'Python' professionals who want to design automatic predictive models on text data "This is apt for everyone” --------------------------------- Why Learn Natural Language Processing or NLP? Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users. NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data. --------------------------------- For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Views: 52024 edureka!
How to process text files with RapidMiner
 
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In this video I process transcriptions from Hugo Chavez's TV programme "Alo Presidente" to find patterns in his speech. Watching this video you will learn how to: -Download several documents at once from a webpage using a Firefox plugin. - Batch convert pdf files to text using a very simple script and a java application. - Process documents with Rapid Miner using their association rules feature to find patterns in them.
Views: 36263 Alba Madriz
PDF Data Extraction and Automation 3.1
 
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Learn how to read and extract PDF data. Whether in native text format or scanned images, UiPath allows you to navigate, identify and use PDF data however you need. Read PDF. Read PDF with OCR.
Views: 143307 UiPath
Natural Language Processing With Python and NLTK p.1 Tokenizing words and Sentences
 
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Natural Language Processing is the task we give computers to read and understand (process) written text (natural language). By far, the most popular toolkit or API to do natural language processing is the Natural Language Toolkit for the Python programming language. The NLTK module comes packed full of everything from trained algorithms to identify parts of speech to unsupervised machine learning algorithms to help you train your own machine to understand a specific bit of text. NLTK also comes with a large corpora of data sets containing things like chat logs, movie reviews, journals, and much more! Bottom line, if you're going to be doing natural language processing, you should definitely look into NLTK! Playlist link: https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL&index=1 sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 474528 sentdex
Introduction to Text Analysis with NVivo 11 for Windows
 
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It’s easy to get lost in a lot of text-based data. NVivo is qualitative data analysis software that provides structure to text, helping you quickly unlock insights and make something beautiful to share. http://www.qsrinternational.com
Views: 147562 NVivo by QSR
Text Mining in R Tutorial: Term Frequency & Word Clouds
 
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This tutorial will show you how to analyze text data in R. Visit https://deltadna.com/blog/text-mining-in-r-for-term-frequency/ for free downloadable sample data to use with this tutorial. Please note that the data source has now changed from 'demo-co.deltacrunch' to 'demo-account.demo-game' Text analysis is the hot new trend in analytics, and with good reason! Text is a huge, mainly untapped source of data, and with Wikipedia alone estimated to contain 2.6 billion English words, there's plenty to analyze. Performing a text analysis will allow you to find out what people are saying about your game in their own words, but in a quantifiable manner. In this tutorial, you will learn how to analyze text data in R, and it give you the tools to do a bespoke analysis on your own.
Views: 68273 deltaDNA
IQ and Aptitude Test Questions, Answers and Explanations
 
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In this video, you will learn IQ and Aptitude Test Questions, Answers and Explanations from Richard McMunn » http://IQandAptitudeTests.com
Views: 338752 CareerVidz
Tricks, tips and topics in Text Analysis - Bhargav Srinivasa Desikan
 
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PyData Amsterdam 2018 There is an abundance of easily mineable text data (Whatsapp, twitter, and even our own e-mails!), and we have no excuse to not analyse it. In this workshop, we will learn some tips and tricks to deal with messy text data, before moving on to some lesser looked at text analysis techniques, such as text summarisation, working with distance metrics, and an old personal favorite - topic models. Slides: https://github.com/bhargavvader/personal/tree/master/notebooks/text_analysis_tutorial -- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 1437 PyData
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 1022019 David Langer
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
 
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Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1584716 ExcelIsFun
Link Tracking with Google Analytics
 
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How do you track Link Clicks with Google Analytics? There are two techniques that we are going to discover today in this video: Outbound Link Tracking with UTM Parameters Inbound LInk Tracking with Google Analytics Event Tracking Depending on what kind of Link you want to track theses are the methods that will let you accomplish Link Tracking. #Tracking #GoogleAnalytics #UTM 🔗 Links mentioned in the video: UTM Tool: https://measureschool.com/utmtool Manual Event Tracking: https://developers.google.com/analytics/devguides/collection/analyticsjs/events 🎓 Learn more from Measureschool: http://measureschool.com/products GTM Copy Paste https://chrome.google.com/webstore/detail/gtm-copy-paste/mhhidgiahbopjapanmbflpkcecpciffa 🚀Looking to kick-start your data journey? Hire us: https://measureschool.com/services/ 📚 Recommended Measure Books: https://kit.com/Measureschool/recommended-measure-books 📷 Gear we used to produce this video: https://kit.com/Measureschool/measureschool-youtube-gear 👍 FOLLOW US Facebook: http://www.facebook.com/measureschool Twitter: http://www.twitter.com/measureschool
Views: 55113 Measureschool
N-Gram, Smoothing and Perplexity
 
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N-gram is an important field of Natural Language Processing because it can disambiguating the meaning of words. Smoothing techniques deal with problems of unseen words in corpus. Perplexity can be used to evaluate the information content of a language and the goodness of fit of a LM or grammar. Download Link for review: http://adry.ro/yt/ngram-review.png Sources: 4 - 1 - Introduction to N-grams- Stanford NLP - Professor Dan Jurafsky & Chris Manning https://www.youtube.com/watch?v=s3kKlUBa3b0 Text Mining, Analytics & More http://www.text-analytics101.com/2014/11/what-are-n-grams.html Speech and Language Processing. Daniel Jurafsky & James H. Martin. C https://web.stanford.edu/~jurafsky/slp3/4.pdf N-gram https://en.wikipedia.org/wiki/N-gram N-Grams and Corpus Linguistics http://www.cs.columbia.edu/~kathy/NLP/ClassSlides/Class3-ngrams09/ngrams.pdf CS474 Natural Language Processing http://www.cs.cornell.edu/courses/cs4740/2014sp/lectures/n-gram-models-1.pdf 4 - 7 - Good-Turing Smoothing - Stanford NLP - Professor Dan Jurafsky & Chris Manning https://www.youtube.com/watch?v=XdjCCkFUBKU Smoothing https://www.cs.jhu.edu/~jason/465/PDFSlides/lect05-smoothing.pdf Perplexity https://www.youtube.com/watch?v=CTYqkWU8cBc Preview of equations http://www.cs.utexas.edu/~mooney/cs388/slides/equation-sheet.pdf
Views: 923 Adrian Simionescu
Final Year Projects | An Ontology-Based Text-Mining Method to Cluster Proposals for Research
 
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Final Year Projects | An Ontology-Based Text-Mining Method to Cluster Proposals for Research Project Selection More Details: Visit http://clickmyproject.com/a-secure-erasure-codebased-cloud-storage-system-with-secure-data-forwarding-p-128.html Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 3534 Clickmyproject
Advanced 3D Typography Effects PART 1 Photoshop CC (How to Create Amazing Text with Mixer Brush)
 
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AMAZING EFFECT USING A MIXER BRUSH! | Impress your friends and dazzle your clients | Mix paths, hand brushing, and shapes This is one of those effects that when people first see you making it they’ll wonder how you can create something that looks so cool with such ease. You’ll learn so many different facets of working with the Mixer Brush and paths in Photoshop in this tutorial. 🎯 Subscribe for Daily Tutorials → https://goo.gl/DN4Nln 💰 Buy the Photoshop Course and Support the Channel → http://bit.ly/28NuwFy 🔥 ↓ VIDEO GUIDE ↓ 🔥 01:00 Getting started 01:59 The important gradient samplers 02:46 The complicated (somewhat) Mixer Brush tool 07:31 Applying the 3D effect to a path 08:19 More gradient samplers for more effects 09:34 Using the Freeform Pen tool for custom type 13:26 Adding a simple shadow 14:14 Convert a typeface to custom 3D text 16:53 Simulating brush pressure for even more effects We will cover how to create custom samples from gradients and turn them into handwritten 3D typography effect. Learn to use and control the Mixer Brush, use Paths to create precise shapes with ease, use the Freeform Pen Tool, work with multiple gradients, simulate pressure when stroking a path, and learn more about working with this false 3D effect than you may have ever thought possible! ⚡️ find the download here: http://bit.ly/2m5nu6Y INSTAGRAM: http://instagram.com/tutvid TWITTER: http://twitter.com/tutvid FACEBOOK: https://www.facebook.com/tutvid SNAPCHAT: tutvid.com tutvid is a YouTube channel dedicated to creating the best Adobe Photoshop, Premiere Pro, Lightroom, and Illustrator tutorials. My goal is to create the best, most informative, and entertaining tutorials on the web. If you enjoy my videos, the best way to support what I do here is to purchase my course linked above or simply subscribe to the YouTube channel by pressing the red button. ✉️ business inquiries: [email protected] – CREDITS: Social Icons in outro: http://www.freepik.com/free-vector/six-social-networking-icons-with-infographic-resources_982300.htm
Views: 221953 tutvid
HOW TO ANALYZE PEOPLE ON SIGHT - FULL AudioBook - Human Analysis, Psychology, Body Language
 
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How To Analyze People On Sight | GreatestAudioBooks 🎅 Give the gift of audiobooks! 🎄 Click here: http://affiliates.audiobooks.com/tracking/scripts/click.php?a_aid=5b8c26085f4b8&a_bid=ec49a209 🌟SPECIAL OFFERS: ► Free 30 day Audible Trial & Get 2 Free Audiobooks: https://amzn.to/2Iu08SE ...OR: 🌟 try Audiobooks.com 🎧for FREE! : http://affiliates.audiobooks.com/tracking/scripts/click.php?a_aid=5b8c26085f4b8 ► Shop for books & gifts: https://www.amazon.com/shop/GreatestAudioBooks How To Analyze People On Sight | GreatestAudioBooks by Elsie Lincoln Benedict & Ralph Pain Benedict - Human Analysis, Psychology, Body Language - In this popular American book from the 1920s, "self-help" author Elsie Lincoln Benedict makes pseudo-scientific claims of Human Analysis, proposing that all humans fit into specific five sub-types. Supposedly based on evolutionary theory, it is claimed that distinctive traits can be foretold through analysis of outward appearance. While not considered to be a serious work by the scientific community, "How To Analyze People On Sight" makes for an entertaining read. . ► Follow Us On TWITTER: https://www.twitter.com/GAudioBooks ► Friend Us On FACEBOOK: http://www.Facebook.com/GreatestAudioBooks ► For FREE SPECIAL AUDIOBOOK OFFERS & MORE: http://www.GreatestAudioBooks.com ► SUBSCRIBE to Greatest Audio Books: http://www.youtube.com/GreatestAudioBooks ► BUY T-SHIRTS & MORE: http://bit.ly/1akteBP ► Visit our WEBSITE: http://www.GreatestAudioBooks.com READ along by clicking (CC) for Caption Transcript LISTEN to the entire book for free! Chapter and Chapter & START TIMES: 01 - Front matter -- - 00:00 02 - Human Analysis - 04:24 03 - Chapter 1, part 1 The Alimentive Type - 46:00 04 - Chapter 1, part 2 The Alimentive Type - 1:08:20 05 - Chapter 2, part 1 The Thoracic Type - 1:38:44 06 - Chapter 2, part 2 The Thoracic Type - 2:10:52 07 - Chapter 3, part 1 The Muscular type - 2:39:24 08 - Chapter 3, part 2 The Muscular type - 3:00:01 09 - Chapter 4, part 1 The Osseous Type - 3:22:01 10 - Chapter 4, part 2 The Osseous Type - 3:43:50 11 - Chapter 5, part 1 The Cerebral Type - 4:06:11 12 - Chapter 5, part 2 The Cerebral Type - 4:27:09 13 - Chapter 6, part 1 Types That Should and Should Not Marry Each Other - 4:53:15 14 - Chapter 6, part 2 Types That Should and Should Not Marry Each Other - 5:17:29 15 - Chapter 7, part 1 Vocations For Each Type - 5:48:43 16 - Chapter 7, part 2 Vocations For Each Type - 6:15:29 #audiobook #audiobooks #freeaudiobooks #greatestaudiobooks #book #books #free #top #best #psychology This video: Copyright 2012. Greatest Audio Books. All Rights Reserved. Audio content is a Librivox recording. All Librivox recordings are in the public domain. For more information or to volunteer visit librivox.org. Disclaimer: As an Amazon Associate we earn from qualifying purchases. Your purchases through Amazon affiliate links generate revenue for this channel. Thank you for your support.
Views: 2117144 Greatest AudioBooks
K Means Clustering Algorithm | K Means Example in Python | Machine Learning Algorithms | Edureka
 
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** Python Training for Data Science: https://www.edureka.co/python ** This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) series presents another video on "K-Means Clustering Algorithm". Within the video you will learn the concepts of K-Means clustering and its implementation using python. Below are the topics covered in today's session: 1. What is Clustering? 2. Types of Clustering 3. What is K-Means Clustering? 4. How does a K-Means Algorithm works? 5. K-Means Clustering Using Python Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm Subscribe to our channel to get video updates. Hit the subscribe button above. How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Programmatically download and analyze data 2. Learn techniques to deal with different types of data – ordinal, categorical, encoding 3. Learn data visualization 4. Using I python notebooks, master the art of presenting step by step data analysis 5. Gain insight into the 'Roles' played by a Machine Learning Engineer 6. Describe Machine Learning 7. Work with real-time data 8. Learn tools and techniques for predictive modeling 9. Discuss Machine Learning algorithms and their implementation 10. Validate Machine Learning algorithms 11. Explain Time Series and its related concepts 12. Perform Text Mining and Sentimental analysis 13. Gain expertise to handle business in future, living the present - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."
Views: 47594 edureka!
How to Clean Up Raw Data in Excel
 
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Al Chen (https://twitter.com/bigal123) is an Excel aficionado. Watch as he shows you how to clean up raw data for processing in Excel. This is also a great resource for data visualization projects. Subscribe to Skillshare’s Youtube Channel: http://skl.sh/yt-subscribe Check out all of Skillshare’s classes: http://skl.sh/youtube Like Skillshare on Facebook: https://www.facebook.com/skillshare Follow Skillshare on Twitter: https://twitter.com/skillshare Follow Skillshare on Instagram: http://instagram.com/Skillshare
Views: 100671 Skillshare
SPSS Questionnaire/Survey Data Entry - Part 1
 
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How to enter and analyze questionnaire (survey) data in SPSS is illustrated in this video. Lots more Questionnaire/Survey & SPSS Videos here: https://www.udemy.com/survey-data/?couponCode=SurveyLikertVideosYT Check out our next text, 'SPSS Cheat Sheet,' here: http://goo.gl/b8sRHa. Prime and ‘Unlimited’ members, get our text for free. (Only 4.99 otherwise, but likely to increase soon.) Survey data Survey data entry Questionnaire data entry Channel Description: https://www.youtube.com/user/statisticsinstructor For step by step help with statistics, with a focus on SPSS. Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Subscribe today! YouTube Channel: https://www.youtube.com/user/statisticsinstructor Video Transcript: In this video we'll take a look at how to enter questionnaire or survey data into SPSS and this is something that a lot of people have questions with so it's important to make sure when you're working with SPSS in particular when you're entering data from a survey that you know how to do. Let's go ahead and take a few moments to look at that. And here you see on the right-hand side of your screen I have a questionnaire, a very short sample questionnaire that I want to enter into SPSS so we're going to create a data file and in this questionnaire here I've made a few modifications. I've underlined some variable names here and I'll talk about that more in a minute and I also put numbers in parentheses to the right of these different names and I'll also explain that as well. Now normally when someone sees this survey we wouldn't have gender underlined for example nor would we have these numbers to the right of male and female. So that's just for us, to help better understand how to enter these data. So let's go ahead and get started here. In SPSS the first thing we need to do is every time we have a possible answer such as male or female we need to create a variable in SPSS that will hold those different answers. So our first variable needs to be gender and that's why that's underlined there just to assist us as we're doing this. So we want to make sure we're in the Variable View tab and then in the first row here under Name we want to type gender and then press ENTER and that creates the variable gender. Now notice here I have two options: male and female. So when people respond or circle or check here that they're male, I need to enter into SPSS some number to indicate that. So we always want to enter numbers whenever possible into SPSS because SPSS for the vast majority of analyses performs statistical analyses on numbers not on words. So I wouldn't want and enter male, female, and so forth. I want to enter one's, two's and so on. So notice here I just arbitrarily decided males get a 1 and females get a 2. It could have been the other way around but since male was the first name listed I went and gave that 1 and then for females I gave a 2. So what we want to do in our data file here is go head and go to Values, this column, click on the None cell, notice these three dots appear they're called an ellipsis, click on that and then our first value notice here 1 is male so Value of 1 and then type Label Male and then click Add. And then our second value of 2 is for females so go ahead and enter 2 for Value and then Female, click Add and then we're done with that you want to see both of them down here and that looks good so click OK. Now those labels are in here and I'll show you how that works when we enter some numbers in a minute. OK next we have ethnicity so I'm going to call this variable ethnicity. So go ahead and type that in press ENTER and then we're going to the same thing we're going to create value labels here so 1 is African-American, 2 is Asian-American, and so on. And I'll just do that very quickly so going to Values column, click on the ellipsis. For 1 we have African American, for 2 Asian American, 3 is Caucasian, and just so you can see that here 3 is Caucasian, 4 is Hispanic, and other is 5, so let's go ahead and finish that. Four is Hispanic, 5 is other, so let's go to do that 5 is other. OK and that's it for that variable. Now we do have it says please state I'll talk about that next that's important when they can enter text we have to handle that differently.
Views: 635917 Quantitative Specialists
How to build Interactive Excel Dashboards
 
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Download file used in the video with step by step instructions and links to more tutorials: https://www.myonlinetraininghub.com/workbook-downloads In this video you will learn how to create an interactive dashboard from scratch using the built in Excel tools. No add-ins or VBA/Macros. Just plain Excel. Applies to Excel 2007 onward for Windows & Excel 2016 onward for Mac. Subscribe to my free newsletter and get my 100 Tips & Tricks eBook here: https://www.myonlinetraininghub.com/sign-up-for-100-excel-tips-and-tricks
Views: 2128974 MyOnlineTrainingHub
Lecture - 39 Natural Language Processing - I
 
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Lecture Series on Artificial Intelligence by Prof.Sudeshna Sarkar and Prof.Anupam Basu, Department of Computer Science and Engineering,I.I.T, Kharagpur . For more details on NPTEL visit http://nptel.iitm.ac.in.
Views: 93375 nptelhrd
C Programming Tutorial | Learn C programming | C language
 
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C Programming Language is the most popular computer language and most used programming language till now. It is very simple and elegant language. 1) This is by far the most comprehensive C Programming course you'll find here, or anywhere else. 2) This C Programming tutorial Series starts from the very basics and covers advanced concepts as we progress. This course breaks even the most complex applications down into simplistic steps. 3) It is aimed at complete beginners, and assumes that you have no programming experience whatsoever. 4) This C Programming tutorial Series uses Visual training method, offering users increased retention and accelerated learning. Every programmer should and must have learnt C whether it is a Java or C# expert, Because all these languages are derived from C. In this tutorial you will learn all the basic concept of C programming language. Every section in this tutorial is downloadable for offline learning. Topics will be added additional to the tutorial every week or the other which cover more topics and with advanced topics. This is we will Learn Data Types, Arithmetic, If, Switch, Ternary Operator, Arrays, For Loop, While Loop, Do While Loop, User Input, Strings, Functions, Recursion, File I/O, Exceptions, Pointers, Reference Operator , memory management, pre-processors and more. #Ctutorialforbeginners #Ctutorial #Cprogramming #Cprogrammingtutorial #Cbasicsforbeginners c tutorial for beginners. C programming tutorials for beginners. C Programming Language Tutorials Time: 00:12:35 - Lesson 2 - C programming introduction and first ‘hello world’ program Time: 00:25:45 - Lesson 3 - simple input & output ( printf, scanf, placeholder ) Time: 00:41:07 - Lesson 4: Comments Time: 00:44:32 - Lesson 5 - Variables and basic data types Time: 00:52:41 - Lesson 6 - simple math & operators Time: 1:00:00 - lesson 7 - if statements Time: 1:09:00 - lesson 8 - if else & nested if else Time: 1:20:00 - lesson 9 - the ternary (conditional) operator in C Time: 1:28:56 - Lesson 10 - Switch Statement in C Time: 1:43:35 - Lesson 11 - while loop Time: 1:52:24 - Lesson 12 - do while loop Time: 2:01:14 - Lesson 13 - for loop Time: 2:11:25 - Lesson 14 - functions in C Time: 2:22:54 - Lesson 15: Passing parameters and arguments in C Time: 2:31:40 - Lesson 16: Return values in functions Time: 2:41:33 - Lesson 17: scope rules in C Time: 2:51:08 - Lesson 18: Arrays in C Time: 3:02:28 - Lesson 19: Multidimentional arrays in C Time: 3:12:33 - Lesson 20: Passing Arrays as function arguments in C Time: 3:24:54 - Lesson 21: Pointers in C Time: 3:35:36 - Lesson 22: Array of pointers Time: 3:43:38 - Lesson 23: Passing pointers as function arguments Time: 3:57:44 - Lesson 24: Strings in C Time: 4:12:17 - Lesson 25: (struct) structures in C Time: 4:27:10 - Lesson 26: Unions in C -------------------Online Courses to learn---------------------------- Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Python Certification Training for Data Science - http://bit.ly/2BB3PV8 Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs Tableau Training & Certification - http://bit.ly/2rODzSK Linux Administration Certification Training-http://bit.ly/2Gy9GQH ----------------------Follow--------------------------------------------- My Website - http://www.codebind.com My Blog - https://goo.gl/Nd2pFn My Facebook Page - https://goo.gl/eLp2cQ Google+ - https://goo.gl/lvC5FX Twitter - https://twitter.com/ProgrammingKnow Pinterest - https://goo.gl/kCInUp Text Case Converter - https://goo.gl/pVpcwL ------------------Facebook Links ---------------------------------------- http://fb.me/ProgrammingKnowledgeLearning/ http://fb.me/AndroidTutorialsForBeginners http://fb.me/Programmingknowledge http://fb.me/CppProgrammingLanguage http://fb.me/JavaTutorialsAndCode http://fb.me/SQLiteTutorial http://fb.me/UbuntuLinuxTutorials http://fb.me/EasyOnlineConverter
Views: 3901600 ProgrammingKnowledge
Windows 10 - File Management Tutorial - How To Organize Files and Folders in File Explorer on a PC
 
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This tutorial covers the basics of how to organize your Windows 10 File Management system using File Explorer. File Explorer is an application built into Windows 10 that allows you to create, rename, edit, organize, delete, and modify files and folders. By mastering the concepts taught in this video, you will no longer have trouble located recently saved files, or remember where you last saved your documents. This tutorial is intended for beginners who want to learn more about the Windows operating system and how to properly manage the filing system. Here is a full list of tutorial videos available on my channel: Windows 10: Perform Basic Mouse Operations Create Folders Explore the Windows 10 Desktop, Taskbar, and Start Menu Select Multiple Files and Folders Download a File From a Website Use File Explorer to Access OneDrive and Upload Student Data Files Capture an Image of the Entire Screen Explore the Control Panel and the Settings App Personalize the Desktop Modify Screen Brightness and Resolution Explore the Control Panel and the Settings App Personalize the Desktop Adjust the Sound Plan the Organization of Files and Folders Word 2016: Create a New Document and Insert Text Insert and Format Graphics Insert and Modify Text Boxes Create a Table Format a Table Present a Word Document Online Create a Research Paper in MLA Format Insert Footnotes in a Research Paper Create Citations and a Bibliography Save a Document Correct Errors as You Type How to Format a Document in APA Format Convert Word Document to a PDF File Microsoft Office Specialist Certification Exam Practice Study Guide APA Format from Default Formatting Table of Contents Tutorial Format Paragraphs Create a Custom Word Template Preview and Print a Document Change Document and Paragraph Layout Excel 2016: Create, Save, and Navigate an Excel Workbook Enter Data in a Worksheet How do you Export Access to Excel and Apply Conditional Formatting Use Flash Fill, SUM, Average, Median, and MAX Functions and Formulas Move Data and Rotate Text Graph Data with a Pie Chart Format a Pie Chart MOS Prep - Basic Certification Exam Practice Study Guide Change Fonts, Font Style, and Font Color The NOW Function Export Excel Spreadsheet to Access Table The VLookup Function The MIN or MINIMUM Function Histogram Charts Use the Sum Button to Sum a Range of Cells Enter Formulas Using the Keyboard Access 2016: Identify Good Database Design Create a Table and Define Fields in a Blank Desktop Database The Primary Key Import Excel Spreadsheet into Access Create a Table in Design View Modify the Structure of a Table Create a Subform MOS Prep - Basic Certification Exam Practice Study Guide Add Existing Fields to a Form PowerPoint 2016: Create a New Presentation Edit a Presentation in Normal View Add Pictures to a Presentation Format Numbered and Bulleted Lists Customize Slide Backgrounds and Themes Animate a Slide Show Apply a Theme Used in Another Presentation Search for and Download an Online Theme Microsoft Office Specialist Exam Certification Print and View a Presentation Outlook 2016 Basic Tutorial YouTube Analytics: 100 Subscribers 200 Subscribers 300 Subscribers 500 Subscribers Computer Fundamentals: Computer Case Types - Dell Inspiron AMD 3656 Printer Ports and Types The Boot Up Process How to Get Your Computer Questions Answered Undo Your Mistakes on Windows 10 or Apple Mac Routers vs. Modems What is the Cloud? Storage as a Service Types of Internet Services on Google Android or Apple iPhone Browsing the Web Why Use the Cloud? Microsoft OneDrive - Creating Uploading Downloading and Syncing Explain the Importance of File Management Troubleshoot Common Computer Problems Job Search Skills: Values, Attitude, and Goals Top 5 Job Search Websites Prepare For Your Interview Negotiating Your Salary Video Requests: Download GMetrix Test Preparation Software Remember, the goal of my channel is for you to learn. You can request a video at any time in the comment section, and I will make the video for you. I will make tutorials and simulations and demos for whatever you'd like to learn in our class. So, I encourage you to make a request. I also YouTube Live Stream once a week to answer your questions! Instructor A Morgan
Views: 140901 Professor Adam Morgan
How To Convert PDF to Word Document
 
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In this video I will Show How to convert PDF file to Microsoft word file online free. In order to convert PDF to word file we do not need any converter software download. This method will work on Windows, mac and Linux also. ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ http://bit.ly/2vsuMaS ⚫️ http://bit.ly/2GOaeQB Java Programming Course ➡️ http://bit.ly/2GEfQMf ⚫️ http://bit.ly/2Vvjy4a Bash Shell Scripting Course ➡️ http://bit.ly/2DBVF0C ⚫️ http://bit.ly/2UM06vF Linux Command Line Tutorials ➡️ http://bit.ly/2IXuil0 ⚫️ http://bit.ly/2IXukt8 C Programming Course ➡️ http://bit.ly/2GQCiD1 ⚫️ http://bit.ly/2ZGN6ej C++ Programming Course ➡️ http://bit.ly/2V4oEVJ ⚫️ http://bit.ly/2XMvqMs PHP Programming Course ➡️ http://bit.ly/2XP71WH ⚫️ http://bit.ly/2vs3od6 Android Development Course ➡️ http://bit.ly/2UHih5H ⚫️ http://bit.ly/2IMhVci C# Programming Course ➡️ http://bit.ly/2Vr7HEl ⚫️ http://bit.ly/2W6RXTU JavaFx Programming Course ➡️ http://bit.ly/2XMvZWA ⚫️ http://bit.ly/2V2CoAi NodeJs Programming Course ➡️ http://bit.ly/2GPg7gA ⚫️ http://bit.ly/2GQYTQ2 Jenkins Course For Developers and DevOps ➡️ http://bit.ly/2Wd4l4W ⚫️ http://bit.ly/2J1B1ug Scala Programming Tutorial Course ➡️ http://bit.ly/2PysyA4 ⚫️ http://bit.ly/2PCaVj2 Bootstrap Responsive Web Design Tutorial ➡️ http://bit.ly/2DFQ2yC ⚫️ http://bit.ly/2VoJWwH MongoDB Tutorial Course ➡️ http://bit.ly/2LaCJfP ⚫️ http://bit.ly/2WaI7Ap QT C++ GUI Tutorial For Beginners ➡️ http://bit.ly/2vwqHSZ ★★★ Online Courses to learn ★★★ Data Science - http://bit.ly/2BB3PV8 | http://bit.ly/2IOrpni Machine Learning - http://bit.ly/2J2xex1 Artificial Intelligence - http://bit.ly/2AeIHUR | http://bit.ly/2PCCBEb Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs Tableau Training & Certification - http://bit.ly/2rODzSK Linux Administration Certification Training-http://bit.ly/2Gy9GQH ★★★ Follow ★★★ My Website - http://www.codebind.com DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
Views: 1133360 ProgrammingKnowledge2
UiPath Web Automation | Automate Web Data Extraction - UiPath Studio | UiPath Training | Edureka
 
25:35
** RPA Training - https://www.edureka.co/robotic-process-automation-training ** This Edureka video on "UiPath Web Automation" will help you know how to automate web using UiPath. Below are the topics covered in this UiPath Web Automation: 1. Data Extraction in UiPath 2. Recording in UiPath 3. Website Testing 4. Report Generation in UiPath 5. Application Transfer 6. Hands On - Web Scraping of Google Contacts Subscribe to our channel to get video updates. Hit the subscribe button above. How it Works? 1. This is a 4 Week Instructor led Online Course, 25 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka’s RPA training makes you an expert in Robotic Process Automation. Robotic Process Automation is Automation of repetitive and rule-based tasks. In Edureka's RPA online training, you will learn about the RPA concepts and will gain in-depth knowledge on UiPath tool using which you can automate the data extraction from the internet, login process, image recognition process and many more. After completing the RPA Training, you will be able to: 1. Know about Robotic Process Automations and how it works 2. Know about the patterns and key considerations while designing a RPA solution 3. Know about the leading RPA tool i.e. UiPath 4. Gain practical knowledge on designing RPA solutions using both the tools 5. Perform Image and Text automation 6. Create RPA bots and perform data manipulation 7. Debug and handle the exceptions through the tool - - - - - - - - - - - - - - Why learn Robotic Process Automation? Robotic Process Automation (RPA) is an automation technology for making smart software by applying intelligence to do high volume and repeatable tasks that are time-consuming. RPA is automating the tasks of wide variety of industries, hence reducing the time and increasing the output. Some of facts about RPA includes: 1. A 2016 report by McKinsey and Co. predicts that the robotic process automation market could be worth $6.7 trillion by 2025 2. A major global wine business, after implementing RPA, increased the order accuracy from 98% to 99.7% while costs reduced to Rs. 5.2 Crore 3. A global dairy company used RPA to automate the processing and validation of delivery claims, reduced goodwill write-offs by Rs. 464 Million For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 33619 edureka!
Rick Astley - Never Gonna Give You Up (Video)
 
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Rick Astley - Never Gonna Give You Up (Official Video) - Listen On Spotify: http://smarturl.it/AstleySpotify Learn more about the brand new album ‘Beautiful Life’: https://RickAstley.lnk.to/BeautifulLifeND Buy On iTunes: http://smarturl.it/AstleyGHiTunes Amazon: http://smarturl.it/AstleyGHAmazon Follow Rick Astley Website: http://www.rickastley.co.uk/ Twitter: https://twitter.com/rickastley Facebook: https://www.facebook.com/RickAstley/ Instagram: https://www.instagram.com/officialric... #RickAstley #NeverGonnaGiveYouUp #RickAstleyofficial #RickAstleyAlbum #RickAstleyofficialvideo #RickAstleyofficialaudio #RickAstleysongs #RickAstleyNeverGonnaGiveYouUp #WRECKITRALPH2 #RALPHBREAKSTHEINTERNET Lyrics We're no strangers to love You know the rules and so do I A full commitment's what I'm thinking of You wouldn't get this from any other guy I just wanna tell you how I'm feeling Gotta make you understand Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you We've known each other for so long Your heart's been aching, but You're too shy to say it Inside, we both know what's been going on We know the game and we're gonna play it And if you ask me how I'm feeling Don't tell me you're too blind to see Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you (Ooh, give you up) (Ooh, give you up) Never gonna give, never gonna give (Give you up) Never gonna give, never gonna give (Give you up) We've known each other for so long Your heart's been aching, but You're too shy to say it Inside, we both know what's been going on We know the game and we're gonna play it I just wanna tell you how I'm feeling Gotta make you understand Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you"
Views: 562901148 RickAstleyVEVO
How To Answer Verbal Reasoning Tests
 
11:26
Get FREE INSTANT Access to Verbal Reasoning tests HERE: http://www.mypsychometrictests.com
Views: 495317 CareerVidz
02 Querying Data from an Unstructured Text File
 
05:19
The video demonstrates how to use Power BI Desktop to extract and clean up data from an unstructured text file.
Views: 3040 CriticalPathTraining
Weka Data Mining Tutorial for First Time & Beginner Users
 
23:09
23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 471437 Brandon Weinberg
How to Write a Good Argumentative Essay: Logical Structure
 
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https://kevindelaplante.com/how-to-write-essays This is a sample video from a full video tutorial course that teaches you how to improve your academic essay writing. The course is hosted on Udemy. To learn more, preview a selection of videos, and get a HUGE DISCOUNT on the signup price, click the link below: https://kevindelaplante.com/how-to-write-essays Many students enter college without the skills necessary to succeed simply because they were never properly taught how to write essays. This course aims to overcome this problem by offering a systemic framework for essay writing that removes the mystery and presents a clear path for moving from idea to outline to completed first draft. TABLE OF CONTENTS SECTION 1: WELCOME AND INTRODUCTION A Brief Introduction to the Course SECTION 2: WHY ARE WRITING SKILLS SO IMPORTANT? Good Writers Rule the World SECTION 3: WHAT IS THE MOST EFFICIENT WAY TO IMPROVE MY ESSAY WRITING? The Craft of Writing from 20,000 Feet The Most Efficient Way to Dramatically Improve Your Essay Writing Introduction, Main Body, Conclusion: Why Are Essays Written This Way? How Essay Style is Related to Essay Structure SECTION 4: HOW SHOULD I APPROACH THE WRITING PROCESS? Writing for Discovery versus Writing for Presentation Why Rewriting is Important (And Why Students Don’t Think So) How to Deal with Writer’s Anxiety and Writer’s Block SECTION 5: WHAT IS MY IDEAL WRITING WORKFLOW? The Right Way to Think About Outlining My Ideal Writing Workflow Tools for Mind-Mapping, Outlining and Drafting The Writing Tools I Use: A Quick Introduction to Scrivener SECTION 6: WHAT DOES A STRUCTURED APPROACH TO ESSAY WRITING LOOK LIKE? Two Kinds of Structure to Keep in Mind A Structured Approach to Essay Writing Using Scrivener A Short Essay Demo Using a Structured Essay Writing Template SECTION 7: FOLLOW ALONG AS I WRITE A REAL COLLEGE ESSAY FROM START TO FINISH Part1: The Assignment Part 2: Initial Research Part 3: Outlining Part 4: Drafts Part 5: References and Citations SECTION 8: HOW CAN I IMPROVE MY WRITING STYLE? The Number One Misconception About Writing Style Oratorical Style, Prophetic Style and Romantic Style Practical Style, Reflexive Style and Academic Style Classic Style: Prose as a Window Into the World Classic Style as an Antidote to Bad Writing SECTION 9: HOW TO WRITE A GOOD ARGUMENTATIVE ESSAY The Minimal Five-Part Structure of a Good Argumentative Essay Writing the Introduction Writing the Conclusion The Essay: “Should Teachers Be Allowed to Ban Laptops in Classrooms? Analysis: The Introduction Analysis: First Argument Analysis: Second Argument Analysis: Third Argument Analysis of the Main Body: Evaluation and Recommendations Analysis: Conclusion The Essay: An Improved Version SECTION 10: WHAT IS PLAGIARISM AND HOW CAN I AVOID IT? What is Plagiarism? Downloading and Buying Whole Papers Cutting and Pasting from Several Sources Changing Some Words But Copying Whole Phrases Paraphrasing Without Attribution The Debate Over Patchwriting SECTION 11: HOW SHOULD I CITE SOURCES IN MY ESSAY? When Should I Cite a Source? What Needs to be Cited? How to Cite: Mark the Boundaries Citing Exact Words Citing a Longer Quotation Citing a Source But Not Quoting Do I Have to Cite Information That is “Common Knowledge”? Citation Styles: MLA, APA, Chicago, Turabian, oh my! SECTION 12: WRAPPING UP Thank You GET A HUGE DISCOUNT ON THIS COURSE: https://kevindelaplante.com/how-to-write-essays SUBSCRIBE: https://www.youtube.com/user/philosophyfreak?sub_confirmation=1
Views: 861159 Kevin deLaplante
Microsoft Excel 2016 - Learn Excel 2016 Beginners Tutorial Video
 
02:08:31
Learn Microsoft 2016 from the pro's. In this FREE beginners tutorial for Microsoft 2016 you will learn the basics of Excel 2016, and Tips and Tricks so that you can get the most out of your Excel experience. Our beginner videos start with simple tasks like selecting cells and entering data, then quickly move to calculating data with basic formulas and functions. The intermediate portion shows you how simple it is to sort and filter and then moves to one of Excel’s most popular features, Pivot Tables. Our advanced videos start with functions like IF and VLOOKUP and finish up with Macros. Some of the other topics in the Microsoft Excel 2016 tutorial include: Start Screen & Templates, Ribbon & QA Toolbar - Part 1, Ribbon & QA Toolbar - Part 2, Backstage View, Interface, Share Pane, Tell Me, Smart Lookup, Navigating, Keyboard Shortcuts, Entering Text Formatting Numbers, Deleting & Formatting, AutoSum, Simple Formulas, Simple Functions, Absolute Referencing, Inserting Rows Inserting Columns, Moving & Copying Data, Autofill, Cell Styles, Worksheet Themes, Excel Templates, Grouping Worksheets, Freeze Panes, Custom Views, Spell Check, Printing, Flash Fill, List Design & Single Level Sorting, Multi-Level Sorting, Custom Sorting, Filtering, Multi-Level Filtering, Search Filtering, Format as Table, Table Style Options, Remove Duplicates, Convert to Range, Subtotal, Multi-Level, Subtotaling, Remove Subtotals, Quick Analysis Charts, Inserting Data Charts, Formatting Data Charts, Chart, Templates, Spark lines, Printing Charts, Importing From Web, MS Query, Exporting Overview, Pivot Tables, Multiple-Field Pivot Tables, Drill Down Reports, Pivot Charts & Grouping Fields, Slicer Tool, Data Validation - Part 1, Data Validation - Part 2, Cell & Sheet Protection, File Encryption, Conditional Formatting, Linking Data, Inserting Comments.. and more Please subscribe to Learn iT! and check out our website (http://learnit.com) to browse other Microsoft Courses, Project Management, and IT Training courses.
Views: 747697 Learn iT! Training
Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques
 
08:39
Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 7221 Clickmyproject
Data Recovery on a Formatted Drive with TestDisk by Britec
 
06:14
Data Recovery on a Formatted Drive with TestDisk TestDisk & PhotoRec Download: http://www.cgsecurity.org/wiki/TestDisk_Download TestDisk is a powerful free data recovery software! It was primarily designed to help recover lost partitions and/or make non-booting disks bootable again when these symptoms are caused by faulty software, certain types of viruses or human error (such as accidentally deleting a Partition Table). Partition table recovery using TestDisk is really easy. TestDisk can * Fix partition table, recover deleted partition * Recover FAT32 boot sector from its backup * Rebuild FAT12/FAT16/FAT32 boot sector * Fix FAT tables * Rebuild NTFS boot sector * Recover NTFS boot sector from its backup * Fix MFT using MFT mirror * Locate ext2/ext3 Backup SuperBlock * Undelete files from FAT, NTFS and ext2 filesystem * Copy files from deleted FAT, NTFS and ext2/ext3 partitions. TestDisk has features for both novices and experts. For those who know little or nothing about data recovery techniques, TestDisk can be used to collect detailed information about a non-booting drive which can then be sent to a tech for further analysis. Those more familiar with such procedures should find TestDisk a handy tool in performing onsite recovery. Operating systems TestDisk can run under * DOS (either real or in a Windows 9x DOS-box), * Windows (NT4, 2000, XP, 2003, Vista, 2008, Windows 7), * Linux, * FreeBSD, NetBSD, OpenBSD, * SunOS and * MacOS X Source files and precompiled binary executables are available for DOS, Win32, MacOSX and Linux from the download page Filesystems TestDisk can find lost partitions for all of these file systems: * BeFS ( BeOS ) * BSD disklabel ( FreeBSD/OpenBSD/NetBSD ) * CramFS, Compressed File System * DOS/Windows FAT12, FAT16 and FAT32 * Windows exFAT * HFS, HFS+ and HFSX, Hierarchical File System * JFS, IBM's Journaled File System * Linux ext2 and ext3 * Linux LUKS encrypted partition * Linux RAID md 0.9/1.0/1.1/1.2 o RAID 1: mirroring o RAID 4: striped array with parity device o RAID 5: striped array with distributed parity information o RAID 6: striped array with distributed dual redundancy information * Linux Swap (versions 1 and 2) * LVM and LVM2, Linux Logical Volume Manager * Mac partition map * Novell Storage Services NSS * NTFS ( Windows NT/2000/XP/2003/Vista/2008/7 ) * ReiserFS 3.5, 3.6 and 4 * Sun Solaris i386 disklabel * Unix File System UFS and UFS2 (Sun/BSD/...) * XFS, SGI's Journaled File System ------------------------------- why not join our tech forum http://www.briteccomputers.co.uk/forum
Views: 998550 Britec09
Natural Language Processing in Artificial Intelligence in Hindi | NLP Easy Explanation
 
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Hello Friends Welcome to Well Academy In this video i am Explaining Natural Language Processing in Artificial Intelligence in Hindi and Natural Language Processing in Artificial Intelligence is explained using an Practical Example which will be very easy for you to understand. Artificial Intelligence lectures or you can say tutorials are explained by Abdul Sattar Another Channel Link for Interesting Videos : https://www.youtube.com/channel/UCnKlI8bIoRdgzrPUNvxqflQ Google Duplex video : https://www.youtube.com/watch?v=RPOAz48uEc0 Sample Notes Link : https://goo.gl/KY9g2e For Full Notes Contact us through Whatsapp : +91-7016189342 Form For Artificial Intelligence Topics Request : https://goo.gl/forms/suL3639o2TG8aKkG3 Artificial Intelligence Full Playlist : https://www.youtube.com/playlist?list=PL9zFgBale5fug7z_YlD9M0x8gdZ7ziXen DBMS Gate Lectures Full Course FREE Playlist : https://www.youtube.com/playlist?list=PL9zFgBale5fs6JyD7FFw9Ou1u601tev2D Computer Network GATE Lectures FREE playlist : https://www.youtube.com/playlist?list=PL9zFgBale5fsO-ui9r_pmuDC3d2Oh9wWy Facebook Me : https://goo.gl/2zQDpD Click here to subscribe well Academy https://www.youtube.com/wellacademy1 GATE Lectures by Well Academy Facebook Group https://www.facebook.com/groups/1392049960910003/ Thank you for watching share with your friends Follow on : Facebook page : https://www.facebook.com/wellacademy/ Instagram page : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy
Views: 94782 Well Academy
Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at [email protected] or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge from data. Data Science is the integration of methods from mathematics, probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, visualization, uncertainty modelling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. This interdisciplinary and cross-functional field leads to decisions that move an organization forward in terms of proposed investment, decisions regarding a product or business strategy. Data Science is a buzzword, often used interchangeably with analytics or big data. At times, Analytics is synonymous with Data Science, but at times it represents something else. A Data Scientist using raw data to build a predictive behaviour model, falls in to the category of analytics. About the Data Science Course at edureka! - This Data Science course is designed to provide knowledge and skills to become a successful Data Scientist. The course covers a range of Hadoop, R and Machine Learning Techniques encompassing the complete Data Science study. Course Objectives After the completion of the Data science Course at Edureka, you should be able to: Gain an insight into the 'Roles' played by a Data Scientist. Analyse Big Data using Hadoop and R. Understand the Data Analysis Life Cycle. Use tools such as 'Sqoop' and 'Flume' for acquiring data in Hadoop Cluster. Acquire data with different file formats like JSON, XML, CSV and Binary. Learn tools and techniques for sampling and filtering data, and data transformation. Understand techniques of Natural Language Processing and Text Analysis. Statistically analyse and explore data using R. Create predictive using Hadoop Mappers and Reducers. Understand various Machine Learning Techniques and their implementation these using Apache Mahout. Gain insight into the visualisation and optimisation of data. Who should go for this course? This course is designed for all those who want to learn machine learning techniques and wish to apply these techniques on Big Data. The course is amalgamation of two powerful open source tools: 'R' language and Hadoop software framework. You will learn how to explore data quantitatively using tools like Sqoop and Flume, write Hadoop MapReduce Jobs, perform Text Analysis and implement Language Processing, learn Machine Learning techniques using Mahout, and optimize and visualize the results using programming language 'R' and Apache Mahout. This course is for you if you are: A SAS, SPSS Analytics Professional. A Hadoop Professional working on Database management and streaming of Big Data. An 'R' professional who wants to apply Statistical techniques on Big Data. A Statistician who wants to understand Data Science methodologies to implement the statistics methods and techniques on Big data. Any Business Analyst who is working on creating reports and dashboards. Pre-requisites Some of the prerequisites for learning Data Science are familiarity with Hadoop, Machine Learning and knowledge of R (recommended not mandatory as these concepts will also be covered during the course). Also, having a statistical background will be an added advantage. Why Learn Data Science? 'Data Science' is a term which came into popularity in past decade. Data Science is the process of extracting valuable insights from "data". It is the right time to learn Data science because: We are living in the Big Data Era, Data Science is becoming a very promising field to harness and process huge volumes of data generated from various sources. A data scientist has a dual role -- that of an "Analyst" as well as that of an "Artist"! Data scientists are very curious, who love large amount of data, and more than that, they love to play with such huge data to reach important inferences and spot trends. You could be one of them! As 'Data Science' is an emerging field, there is a plethora of opportunities available world across. Just browse through any of the job portals; you will be taken aback by the number of job openings available for Data scientists in different industries, whether it is IT or healthcare, Retail or Government offices or Academics, Life Sciences, Oceanography, etc. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 217190 edureka!
ReportMiner 6 Demo
 
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This is an overview of Astera's ReportMiner 6. To download a free trial, please visit: www.astera.com/reportminer/download
Views: 6292 Sales Astera
Time Series Analysis in Python | Time Series Forecasting | Data Science with Python | Edureka
 
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** Python Data Science Training : https://www.edureka.co/python ** This Edureka Video on Time Series Analysis n Python will give you all the information you need to do Time Series Analysis and Forecasting in Python. Below are the topics covered in this tutorial: 1. Why Time Series? 2. What is Time Series? 3. Components of Time Series 4. When not to use Time Series 5. What is Stationarity? 6. ARIMA Model 7. Demo: Forecast Future Subscribe to our channel to get video updates. Hit the subscribe button above. Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm #timeseries #timeseriespython #machinelearningalgorithms - - - - - - - - - - - - - - - - - About the Course Edureka’s Course on Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. Throughout the Python Certification Course, you’ll be solving real life case studies on Media, Healthcare, Social Media, Aviation, HR. During our Python Certification Training, our instructors will help you to: 1. Master the basic and advanced concepts of Python 2. Gain insight into the 'Roles' played by a Machine Learning Engineer 3. Automate data analysis using python 4. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 5. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 6. Explain Time Series and it’s related concepts 7. Perform Text Mining and Sentimental analysis 8. Gain expertise to handle business in future, living the present 9. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 83141 edureka!
How to predict students' performance?
 
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Talk presented at SSCI2014, in Orlando. Download paper from: http://personal.ee.surrey.ac.uk/Personal/Norman.Poh/data/poh_gradcert.pdf Abstract: Student performance depends upon factors other than intrinsic ability, such as environment, socio-economic status, personality and familial-context. Capturing these patterns of influence may enable an educator to ameliorate some of these factors, or for governments to adjust social policy accordingly. In order to understand these factors, we have undertaken the exercise of predicting student performance, using a cohort of approximately 8,000 South African college students. They all took a number of tests in English and Maths. We show that it is possible to predict English comprehension test results from (1) other test results; (2) from covariates about self-efficacy, social economic status, and specific learning difficulties there are 100 survey questions altogether; (3) from other test results + covariates (combination of (1) and (2)); and from (4) a more advanced model similar to (3) except that the covariates are subject to dimensionality reduction (via PCA). Models 1-4 can predict student performance up to a standard error of 13-15%. In comparison, a random guess would have a standard error of 17%. In short, it is possible to conditionally predict student performance based on self-efficacy, socio-economic background, learning difficulties, and related academic test results.
Views: 6535 Norman Poh
Does GZIP Compression Actually Help With Site Speed?
 
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Grab Your Free 17-Point WordPress Pre-Launch PDF Checklist: http://vid.io/xqRL Does GZIP Compression Actually Help With Site Speed? https://youtu.be/UAg4bkvDKTU GZIP Compression is a fast way to increase your WordPress Site speed. All it takes is adding some code to your .htaccess file. I'll be speeding testing the site before and after gzip compression to see if gzipping helps with site speed. GZIP Compression Is A Quick Way To Improve WordPress Site Speed https://youtu.be/QOnouKjb8iI GZIP Compression is a fast way to increase your WordPress Site speed. All it takes is adding some code to your htaccess file. HTTP Compression Test: http://www.whatsmyip.org/http-compression-test/ GZIP Compression code: https://wplearninglab.com/gzip-compression/ Deflate Compression tutorial: https://youtu.be/Mpf9fbMu96Y Grab your free 17-Point WordPress Pre-Launch PDF Checklist: http://vid.io/xqRL Download your exclusive 10-Point WP Security Checklist: http://bit.ly/10point-wordpress-hardening-checklist Subscribe to this awesome channel here: http://www.youtube.com/subscription_center?add_user=wplearninglab
Artificial Neural Network Tutorial | Deep Learning With Neural Networks | Edureka
 
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( TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ) This Edureka "Neural Network Tutorial" video (Blog: https://goo.gl/4zxMfU) will help you to understand the basics of Neural Networks and how to use it for deep learning. It explains Single layer and Multi layer Perceptron in detail. Below are the topics covered in this tutorial: 1. Why Neural Networks? 2. Motivation Behind Neural Networks 3. What is Neural Network? 4. Single Layer Percpetron 5. Multi Layer Perceptron 6. Use-Case 7. Applications of Neural Networks Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course. - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. Business Analysts who want to understand Deep Learning (ML) Techniques 4. Information Architects who want to gain expertise in Predictive Analytics 5. Professionals who want to captivate and analyze Big Data 6. Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio. - - - - - - - - - - - - - - Why Learn Deep Learning With TensorFlow? TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning. Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 79043 edureka!
WEKA - Birliktelik Analizi
 
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Weka, Weka Analiz, WEKA - Birliktelik Analizi TAGS veri madenciliği yöntemleri, veri madenciliği nedir, microsoft excell, makro nedir, makrolarla excell dersleri, mining data, mining, datamining, what is data, data mining pdf, data mining techniques, data analysis, mineria, mineria de datos, data warehouse, data warehousing, database, data mining algorithm, data mining ppt, database mining, data mining software, big data, clustering, data mining tools, google data mining, classification, big data mining, smite, datamining smite, smite data mining, coursera, smite reddit, smite patch notes, smite wiki,0 gw2 data mining, big data analytics, bigdata, big data mining, big data, slideshare, kaggle, data scientist, hadoop,0 data mining meaning, jurnal data mining, python data mining, data mining adalah, nptel, python, data mining pdf TAGS https://www.kodkolik.net/ Weka, makine öğrenimi amacıyla Waikato Üniversitesinde geliştirilmiş ve "Waikato Environment for Knowledge Analysis" kelimelerinin baş harflerinden oluşmuş yazılımın ismidir. Günümüzde yaygın kullanımı olan çoğu makine öğrenimi algoritmalarını ve metotlarını içermektedir. Java dilinde geliştirilmiş olması ve kütüphanelerinin .jar dosyaları halinde geliyor olması sayesinde, Java dilinde yazılan projelere kolayce entegre edilebilmesi kullanımını daha da yaygınlaştırmıştır Yazılım, GNU Genel Kamu Lisansı ile dağıtılmaktadır. Weka, tamamen modüler bir tasarıma sahip olup, içerdiği özelliklerle veri kümeleri üzerinde görselleştirme, veri analizi, iş zekası uygulamaları, veri madenciliği gibi işlemler yapabilmektedir. Weka yazılımı, kendisine özgü olarak bir .arff uzantısı desteği ile gelmektedir. Ancak Weka yazılımının içerisinde CSV dosyalarını da ARFF formatına çevirmeye yarayan araçlar mevcuttur. Temel olarak aşağıdaki 3 Veri Madenciliği işlemi Weka ile yapılabilir: Sınıflandırma (Classification) Bölütleme (Clustering) İlişkilendirme (Association) Ayrıca yukarıdaki işlemlere ilave olarak, veri kümeleri üzerinde ön ve son işlemler yapılabilir Veri Ön işleme (Data Pre-Processing) Görselleme (Visualization) Son olarak Weka Kütüphanesi'nde veri kümelerini içeren dosyalar üzerinde çalışan çok sayıda hazır fonksiyon bulunmaktadır. Machine Learning Group at the University of Waikato Project Software Book Publications People Related Weka 3: Data Mining Software in Java Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. Check out the website for the courses for details on when and how to enrol. The videos for the courses are available on Youtube. Yes, it is possible to apply Weka to big data!
3D scanning for free! - Tutorial
 
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3D scanning does not have to require expensive equipment and software. Using photogrammetry techniques you can do quite a bit of scanning for free with just a camera and some free, and (partly) open-source software. For lighting, a cloudy day is good or for small objects fluorescent lighting also casts very little shadow. You can also try doing it inside a shadow. --Note: No need to install Visual SFM or CMVS, just extract Visual SFM, then extract CMVS into the same folder. --The download link for CMVS is on this page, lower right called "Download Zip". https://github.com/pmoulon/CMVS-PMVS In the zip file open "BinariesWIn-Linux / Win64-VS2010" Then copy all the files in there and paste them in the same folder as Visual SFM Of course if you're using WIn32 you'll do that one instead. --If you press tab and nothing happens all I can say is make sure CMVS is installed as described and check the log window for errors. I don't know any more than that. --Many people are confused about where all the files go. They really all just get dumped into the same folder. Here's what mine looks like: https://www.dropbox.com/s/y3bmjrpbjom6n9m/visual_sfm.jpg --This info is in an annotation in the video but you may not see it on mobile devices: "Surface Reconstruction Poisson" has been moved in newer versions. Look for "Screened Poisson Surface Reconstruction" under Filters, then Remeshing, Simplification and Reconstruction. --Many people are asking if it could done with video and the frames saved out to make the photos. It probably could but I don't think the quality would be as good because photos are higher resolution and also taking stills forces you to pay attention to the framing, lighting, focus, etc. to get the best quality images possible. ---------I've put a lot of work into this tutorial as well as the comments and description text. If you like it please consider becoming a patron. Donations help me make more and better videos! https://www.patreon.com/philnolan3DJ Software you'll need: Visual SFM (CUDA version if you use nVidia) http://ccwu.me/vsfm/ CMVS For Windows http://www.di.ens.fr/cmvs/ Meshlab http://meshlab.sourceforge.net/ Here is the rock in full 3D after cleanup and retopo. https://skfb.ly/Cxxp If you'd like to join Sketchfab and display your own models please use my link. https://skfb.ly/BVJN If you'd like to use my photos you can get them here (259MB) https://www.dropbox.com/s/g9rxzs59lt59pq3/rock_video_images.zip?dl=0 This is the original tutorial I followed which has a ton of information, but I wanted my videos to get right to the point. http://wedidstuff.heavyimage.com/index.php/2013/07/12/open-source-photogrammetry-workflow Shot with my Galaxy Note 3, edited in HitFilm and Photoshop See my 3D work at http://philnolan3d.com
Views: 713300 Phil Nolan
Lecture - 34 Data Mining and Knowledge Discovery
 
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Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 135101 nptelhrd
Fifth International Conference on Advances in Computing and Information Technology (ACITY 2015)
 
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Fifth International Conference on Advances in Computing and Information Technology (ACITY 2015) July 25~26, 2015, Chennai, India Volume Editors : David C. Wyld, Natarajan Meghanathan (Eds) ISBN : 978-1-921987-41-0 Fifth International Conference on Advances in Computing and Information Technology (ACITY 2015) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computing and Information Technology. The conference focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. Table of Contents Designing a Routing Protocol for Ubiquitous Networks Using ECA Scheme Chandrashekhar Pomu Chavan and Pallapa Venkataram, Indian Institute of Science - Bangalore, India Topic Modeling : Clustering of Deep Webpages Muhunthaadithya C, Rohit J.V, Sadhana Kesavan and E.Sivasankar, NIT - Trichy, India Turnover Prediction of Shares Using Data Mining Techniques : A Case Study Shashaank D.S, Sruthi.V, Vijayalashimi M.L.S and Shomona Garcia Jacob, SSNCE, India Web Mining Based Framework for Ontology Learning C.Ramesh1, K.V.Chalapati Rao1, A.Govardhan2, 1CVR College of Engineering, India and 2JNT University, India Cooperative Data Sharing with Security in Vehicular Ad-Hoc Networks Deepa B and S A Kulkarni, KLS Gogte Institute of Technology, India Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO Anupam Ghosh1, Mainak Talukdar2 and Uttam Kumar Roy3, 1Indian Institute of Technology - Mumbai, India, 2Cognizant Technology Solutions - Kolkata, India, 3Jadavpur University, India Fault-Tolerance Aware Multi Objective Scheduling Algorithm for Task Scheduling in Computational Grid Dinesh Prasad Sahu1, Karan Singh1 and Shiv Prakash2, 1Jawaharlal Nehru University, India, 2Indian Institute of Technology - Delhi, India Hashtag Recommendation System in a P2P Social Networking Application Keerthi Nelaturu, Ying Qiao, Iluju Kiringa and TetHin Yeap, University of Ottawa, Canada Enhancement and Segmentation of Historical Records Soumya A1 and G Hemantha Kumar2, 1R V College of Engineering, India and 2University of Mysore, India Single Image Fog Removal Based on Fusion Strategy V. Thulasika and A. Ramanan, University of Jaffna, Sri Lanka Implemenation of Vedic Multiplier Using Reversible Gates [Pdf] P. Koti Lakshmi, B Santhosh Kumar and Rameshwar Rao, Osmania University, India High Speed Low Power CMOS Domino or Gate Design in 16nm Technology P. Koti Lakshmi and Rameshwar Rao, Osmania University, India Authentication and Key Agreement in 3GPP Networks Krishna Prakash and Balachandra, Manipal University, India Mobile-Based Video Caching Architecture Based on Billboard Manager Rajesh Bose, Sandip Roy and Debabrata Sarddar, University of Kalyani, India DROIDSWAN: Detecting Malicious Android Applications Based on Static Feature Analysis Babu Rajesh V, Phaninder Reddy, Himanshu P and Mahesh U Patil, Centre for Development of Advanced Computing, India Embedding and Extraction Techniques for Medical Images-Issues and Challenges S.Priya1 and R.Varatharajan2, 1Bharath University, India and 2Sri Lakshmi Ammal Engineering College, India Optimization of Average Distance Based Self-Relocation Algorithm Using Augmented Lagrangian Method Shivani Dadwal and T. S. Panag, BBSBEC, India Effect of Rigidity on Trilateration Technique for Localization in Wireless Sensor Networks Saroja Kanchi, Kettering University, USA To Download Full Proceedings : http://airccse.com/proceedings.pdf To Visit our Website : http://airccse.org/ To visit our Computer Science & Information Technology (CS & IT) website : http://airccse.org/cscp.html
Views: 982 Acity Conf
Naive Bayes Classifier Algorithm Example Data Mining | Bayesian Classification | Machine Learning
 
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naive Bayes classifiers in data mining or machine learning are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features. Naive Bayes has been studied extensively since the 1950s. It was introduced under a different name into the text retrieval community in the early 1960s,and remains a popular (baseline) method for text categorization, the problem of judging documents as belonging to one category or the other (such as spam or legitimate, sports or politics, etc.) with word frequencies as the features. With appropriate pre-processing, it is competitive in this domain with more advanced methods including support vector machines. It also finds application in automatic medical diagnosis. for more refer to https://en.wikipedia.org/wiki/Naive_Bayes_classifier naive bayes classifier example for play-tennis Download PDF of the sum on below link https://britsol.blogspot.in/2017/11/naive-bayes-classifier-example-pdf.html *****************************************************NOTE********************************************************************************* The steps explained in this video is correct but please don't refer the given sum from the book mentioned in this video coz the solution for this problem might be wrong due to printing mistake. **************************************************************************************************************************************** All data mining algorithm videos Data mining algorithms Playlist: http://www.youtube.com/playlist?list=PLNmFIlsXKJMmekmO4Gh6ZBZUVZp24ltEr ******************************************************************** book name: techmax publications datawarehousing and mining by arti deshpande n pallavi halarnkar *********************************************
Views: 43308 fun 2 code
PowerPoint 2016 - MOS Exam Certification - Microsoft Office Specialist Certiport Test Training 2018
 
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This tutorial is for the MOS PowerPoint 2016 Exam. In this video, I should you the different skills that you'll need to have to pass the exam. I am doing this from memory, and they update the Microsoft Office Specialist Exam so I refer you to my PowerPoint 2016 Playlist if you see something on the Exam that maybe isn't on this demo. The different tabs, groups, buttons that you'll see displayed on this tutorial will appear on the MOS Exam. This is a how to video for anyone who wants to learn more about Power Point, and the different tips and tricks you'll need to eventually become certified in the program. Good luck with your test! Here is a full list of tutorial videos available on my channel: Windows 10: Perform Basic Mouse Operations Create Folders Explore the Windows 10 Desktop, Taskbar, and Start Menu Select Multiple Files and Folders Download a File From a Website Use File Explorer to Access OneDrive and Upload Student Data Files Capture an Image of the Entire Screen Explore the Control Panel and the Settings App Personalize the Desktop Modify Screen Brightness and Resolution Word 2016: Create a New Document and Insert Text Insert and Format Graphics Insert and Modify Text Boxes Create a Table Format a Table Present a Word Document Online Create a Research Paper in MLA Format Insert Footnotes in a Research Paper Create Citations and a Bibliography Save a Document Correct Errors as You Type How to Format a Document in APA Format Convert Word Document to a PDF File Microsoft Office Specialist Certification Exam Practice Study Guide APA Format from Default Formatting Table of Contents Tutorial Format Paragraphs Create a Custom Word Template Excel 2016: Create, Save, and Navigate an Excel Workbook Enter Data in a Worksheet How do you Export Access to Excel and Apply Conditional Formatting Use Flash Fill, SUM, Average, Median, and MAX Functions and Formulas Move Data and Rotate Text Graph Data with a Pie Chart Format a Pie Chart MOS Prep - Basic Certification Exam Practice Study Guide Change Fonts, Font Style, and Font Color The NOW Function Export Excel Spreadsheet to Access Table The VLookup Function The MIN or MINIMUM Function Histogram Charts Use the Sum Button to Sum a Range of Cells Enter Formulas Using the Keyboard Access 2016: Identify Good Database Design Create a Table and Define Fields in a Blank Desktop Database The Primary Key Import Excel Spreadsheet into Access Create a Table in Design View Modify the Structure of a Table Create a Subform MOS Prep - Basic Certification Exam Practice Study Guide Add Existing Fields to a Form PowerPoint 2016: Create a New Presentation Edit a Presentation in Normal View Add Pictures to a Presentation Format Numbered and Bulleted Lists Customize Slide Backgrounds and Themes Animate a Slide Show Apply a Theme Used in Another Presentation Search for and Download an Online Theme Microsoft Office Specialist Exam Certification Print and View a Presentation Outlook 2016 Basic Tutorial YouTube Analytics: 100 Subscribers 200 Subscribers 300 Subscribers 500 Subscribers Computer Fundamentals: Computer Case Types - Dell Inspiron AMD 3656 Printer Ports and Types The Boot Up Process How to Get Your Computer Questions Answered Undo Your Mistakes on Windows 10 or Apple Mac Routers vs. Modems What is the Cloud? Storage as a Service Types of Internet Services on Google Android or Apple iPhone Browsing the Web Why Use the Cloud? Microsoft OneDrive - Creating Uploading Downloading and Syncing Explain the Importance of File Management Troubleshoot Common Computer Problems Job Search Skills: Values, Attitude, and Goals Top 5 Job Search Websites Prepare For Your Interview Negotiating Your Salary Video Requests: Download GMetrix Test Preparation Software Remember, the goal of my channel is for you to learn. You can request a video at any time in the comment section, and I will make the video for you. I will make tutorials and simulations and demos for whatever you'd like to learn in our class. So, I encourage you to make a request. I also YouTube Live Stream once a week to answer your questions! Instructor A Morgan
Views: 59309 Professor Adam Morgan
Faster copy paste technique (Level 1) Excel Ninja by Prof. Rishabh Pugalia
 
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Enrol Excel Ninja (Professional Course) subject at CCI Online Coaching by CA Rishabh Pugalia http://www.caclubindia.com/coaching/314-excel-ninja.asp. Download CCI Online Coaching Android App http://bit.ly/2psn78u Call us : 1800-3000-0505 (Toll Free)
Views: 2554 CAclubindia.com
Data Mining For Automated Personality Classification
 
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Get this project at http://nevonprojects.com/data-mining-for-automated-personality-classification-2/ Here we use data mining algorithm to mine a training data set for automated human personality classification.
Views: 5373 Nevon Projects
Random Forest Tutorial | Random Forest in R | Machine Learning | Data Science Training | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This Edureka Random Forest tutorial will help you understand all the basics of Random Forest machine learning algorithm. This tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts, learn random forest analysis along with examples. Below are the topics covered in this tutorial: 1) Introduction to Classification 2) Why Random Forest? 3) What is Random Forest? 4) Random Forest Use Cases 5) How Random Forest Works? 6) Demo in R: Diabetes Prevention Use Case Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #RandomForest #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
Views: 62886 edureka!
Word 2016 - Navigation Pane Tutorial - How To Show, Use, Hide, Headings in Microsoft MS Office 365
 
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This tutorial shows you how to use the Navigation Pane in Microsoft Word 2016. I cover everything that you'll need to know for the headings section of the navigation pane including how to modify heading styles, customizing styles, and renaming styles. This tutorial is intended for beginners who'd like to learn more about how to use Microsoft Office 365. Here is a full list of tutorial videos available on my channel: Windows 10: Perform Basic Mouse Operations Create Folders Explore the Windows 10 Desktop, Taskbar, and Start Menu Select Multiple Files and Folders Download a File From a Website Use File Explorer to Access OneDrive and Upload Student Data Files Capture an Image of the Entire Screen Explore the Control Panel and the Settings App Personalize the Desktop Modify Screen Brightness and Resolution Explore the Control Panel and the Settings App Personalize the Desktop Adjust the Sound Plan the Organization of Files and Folders Word 2016: Create a New Document and Insert Text Insert and Format Graphics Insert and Modify Text Boxes Create a Table Format a Table Present a Word Document Online Create a Research Paper in MLA Format Insert Footnotes in a Research Paper Create Citations and a Bibliography Save a Document Correct Errors as You Type How to Format a Document in APA Format Convert Word Document to a PDF File Microsoft Office Specialist Certification Exam Practice Study Guide APA Format from Default Formatting Table of Contents Tutorial Format Paragraphs Create a Custom Word Template Preview and Print a Document Change Document and Paragraph Layout Use AutoComplete and AutoCorrect Correct and Reorganize Text Header and Footer Tutorial Page Numbers Tutorial Captions in Word Review Document Headings in the Navigation Pane Reorganize Document Text Using the Navigation Pane Collapse and Expand Body Text in a Document Excel 2016: Create, Save, and Navigate an Excel Workbook Enter Data in a Worksheet How do you Export Access to Excel and Apply Conditional Formatting Use Flash Fill, SUM, Average, Median, and MAX Functions and Formulas Move Data and Rotate Text Graph Data with a Pie Chart Format a Pie Chart MOS Prep - Basic Certification Exam Practice Study Guide Change Fonts, Font Style, and Font Color The NOW Function Export Excel Spreadsheet to Access Table The VLookup Function The MIN or MINIMUM Function Histogram Charts Use the Sum Button to Sum a Range of Cells Enter Formulas Using the Keyboard Access 2016: Identify Good Database Design Create a Table and Define Fields in a Blank Desktop Database The Primary Key Import Excel Spreadsheet into Access Create a Table in Design View Modify the Structure of a Table Create a Subform MOS Prep - Basic Certification Exam Practice Study Guide Add Existing Fields to a Form PowerPoint 2016: Create a New Presentation Edit a Presentation in Normal View Add Pictures to a Presentation Format Numbered and Bulleted Lists Customize Slide Backgrounds and Themes Animate a Slide Show Apply a Theme Used in Another Presentation Search for and Download an Online Theme Microsoft Office Specialist Exam Certification Print and View a Presentation Outlook 2016 Basic Tutorial YouTube Analytics: 100 Subscribers 200 Subscribers 300 Subscribers 500 Subscribers 1,000 Subscribers Computer Fundamentals: Computer Case Types - Dell Inspiron AMD 3656 Printer Ports and Types The Boot Up Process How to Get Your Computer Questions Answered Undo Your Mistakes on Windows 10 or Apple Mac Routers vs. Modems What is the Cloud? Storage as a Service Types of Internet Services on Google Android or Apple iPhone Browsing the Web Why Use the Cloud? Microsoft OneDrive - Creating Uploading Downloading and Syncing Explain the Importance of File Management Troubleshoot Common Computer Problems Job Search Skills: Values, Attitude, and Goals Top 5 Job Search Websites Prepare For Your Interview Negotiating Your Salary Video Requests: Download GMetrix Test Preparation Software Remember, the goal of my channel is for you to learn. You can request a video at any time in the comment section, and I will make the video for you. I will make tutorials and simulations and demos for whatever you'd like to learn in our class. So, I encourage you to make a request. I also YouTube Live Stream once a week to answer your questions! Instructor A Morgan
Views: 16663 Professor Adam Morgan