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Final Year Projects for Computer Science - Java Data Mining Project Titles 2016-17
 
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Download the PDF at https://goo.gl/CJembO Visit http://www.CTechProjects.com for more information.
IEEE  Project Titles 2016-2017 & Mechanical Project Titles
 
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Embedded systems, Power Electronics,Power Systems, Bio Medical, Image processing, VLSI, Cloud Computing, Data mining, Android IEEE Project Titles 2016-2017 & Mechanical Project Titles PDF version available in https://goo.gl/BNYGUl For More details Contact: CAEL TECHNOSOFT, GH(opp) ,Rohini Medicals Straight Left Cut, Near Vadivusubramaniam Hospital, Erode-638 009 Er.Sathiskumar - 99421 30500 Mr.Mohan - 94862 54194 Office - 78455 30500 Email Id - [email protected] Facebook Id - https://www.facebook.com/caeltech Location - https://goo.gl/RXmNQE
Views: 42 Cael Technosoft
Smart Health Prediction Using Data Mining
 
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Get the project at http://nevonprojects.com/smart-health-prediction-using-data-mining/ A smart system that suggests a persons disease and suggestions to cure based on his symptoms, also has online doctor to consult for further treatment and cure.
Views: 34955 Nevon Projects
Data Mining Update - Test 3 and Hopes for New Ideas
 
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I am continuing testing but looking to make big changes to the methodology of the data mining project.
Views: 59 JonoExplainsThings
How to Make a Text Summarizer - Intro to Deep Learning #10
 
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I'll show you how you can turn an article into a one-sentence summary in Python with the Keras machine learning library. We'll go over word embeddings, encoder-decoder architecture, and the role of attention in learning theory. Code for this video (Challenge included): https://github.com/llSourcell/How_to_make_a_text_summarizer Jie's Winning Code: https://github.com/jiexunsee/rudimentary-ai-composer More Learning resources: https://www.quora.com/Has-Deep-Learning-been-applied-to-automatic-text-summarization-successfully https://research.googleblog.com/2016/08/text-summarization-with-tensorflow.html https://en.wikipedia.org/wiki/Automatic_summarization http://deeplearning.net/tutorial/rnnslu.html http://machinelearningmastery.com/text-generation-lstm-recurrent-neural-networks-python-keras/ Please subscribe! And like. And comment. That's what keeps me going. Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 145654 Siraj Raval
Topic 2: Mineral Exploration
 
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In the second installment of the 'Technically Speaking' series, Tom Bruington, mining engineer with Sandstorm Gold, discusses the tools and concepts behind mineral exploration. Tom’s lesson covers both simple and more complicated exploration techniques ranging from mapping to geochemistry to drilling.
DEFCON 17: Dangerous Minds: The Art of Guerrilla Data Mining
 
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Speaker: Mark Ryan Del Moral Talabis Senior Consultant, Secure-DNA Consulting It is not a secret that in today's world, information is as valuable or maybe even more valuable that any security tool that we have out there. Information is the key. That is why the US Information Awareness Office's (IAO) motto is "scientia est potential", which means "knowledge is power". The IAO just like the CIA, FBI and others make information their business. Aside from these there are multiple military related projects like TALON,ECHELON, ADVISE, and MATRIX that are concerned with information gathering and analysis. The goal of the Veritas Project is to model itself in the same general threat intelligence premise as the organization above but primarily based on community sharing approach and using tools, technologies, and techniques that are freely available. Often, concepts that are part of artificial intelligence, data mining, and text mining are thought to be highly complex and difficult. Don't mistake me, these concepts are indeed difficult, but there are tools out there that would facilitate the use of these techniques without having to learn all the concepts and math behind these topics. And as sir Isaac Newton once said, "If I have seen further it is by standing on the shoulders of giants". The combination of all the techniques presented in this site is what we call "Guerrilla Data Mining". It's supposed to be fast, easy, and accessible to anyone. The techniques provides more emphasis on practicality than theory. For example, these tools and techniques presented can be used to visualize trends (e.g. security trends over time), summarize large and diverse data sets (forums, blogs, irc), find commonalities (e.g. profiles of computer criminals) gather a high level understanding of a topic (e.g. the US economy, military activities), and automatically categorize different topics to assist research (e.g. malware taxonomy). Aside from the framework and techniques themselves, the Veritas Project hopes to present a number of current ongoing studies that uses "guerilla data mining". Ultimately, our goal is to provide as much information in how each study was done so other people can generate their own studies and share them through the project. The following studies are currently available and will be presented: For more information visit: http://bit.ly/defcon17_information To download the video visit: http://bit.ly/defcon17_videos
Views: 3908 Christiaan008
Data Mining Project Topics Ieee | Data Mining Thesis Topics Ieee
 
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Contact Best Matlab Simulation Projects Visit us: http://matlabsimulation.com/
Views: 22 matlab simulation
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #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). Website: https://www.edureka.co/data-science 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. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 60074 edureka!
Data Mining Advanced Concept
 
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Convolutional Neural Network(CNN) combined with Artificial Neural Network(ANN) in order to predict a given image(Image Mining).
Views: 30 Niranjan Somasani
INTRODUCTION TO DATA MINING IN HINDI
 
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Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 106709 LearnEveryone
Final year project discussion apke saare sawalo ke jawab
 
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iss video me maine bataya hai ki kiss tarah final yer project ka process work karta hai step by step par project tumhe hi dhundna hai tabhi toh tum kuch sikhonge and mujhe pata hai voh easy nahi hai par hum engineer hai ham easy kaam ke liye nahi bane so best of LUCK
Views: 101665 Last moment tuitions
Heart Disease Prediction Project
 
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Get this project kit at http://nevonprojects.com/heart-disease-prediction-project/ System allows user to predict heart disease by users symptoms using data mining
Views: 30422 Nevon Projects
Final Year Projects | Data Mining with Big Data
 
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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: 14441 Clickmyproject
TV Show Popularity Analysis Using Data Mining
 
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Get this software system at http://nevonprojects.com/tv-show-popularity-analysis-using-data-mining/
Views: 15174 Nevon Projects
Flight Crash Investigation Using Data Mining Techniques |final year Cse projects consultants
 
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We are providing a Final year IEEE project solution & Implementation with in short time. If anyone need a Details Please Contact us Mail: [email protected] or [email protected] Phone: +91-9842339884, +91-9790630523 (Call/what’s up) Watch this also: https://www.youtube.com/channel/UCDv0caOoT8VJjnrb4WC22aw B E projects 2018-2019,B Tech projects 2018-2019,M Tech projects 2018-2019,MCA projects 2018-2019,BCA projects 2018-2019,M Sc projects 2018-2019,B Sc projects 2018-2019,IEEE projects 2018-2019,IEEE projects topics 2018-2019,IEEE projects for CSE 2018-2019,IEEE projects for ECE 2018-2019,IEEE projects for EEE 2018-2019,IEEE projects for Computer Science Engineering 2018-2019,IEEE projects for Electronics Engineering 2018-2019,IEEE projects for Electrical Engineering 2018-2019,Embedded systems projects 2018-2019,electronic projects 2018-2019,robotic projects 2018-2019,ECE projects 2018-2019,php projects 2018-2019,vlsi projects 2018-2019,networking projects 2018-2019,cloud computing projects 2018-2019,power electronics projects 2018-2019,matlab projects 2018-2019,mobile app projects 2018-2019,electronics engineering projects 2018-2019,Final year projects 2018-2019,Final year projects for ece 2018-2019,Final year projects for cse 2018-2019,Final year projects for eee 2018-2019, Final year engineering projects 2018-2019,Final year engineering projects for Computer Science Engineering 2018-2019,Final year engineering projects for Electronics Engineering 2018-2019,Final year engineering projects for Electrical Engineering 2018-2019, Final year academic projects 2018-2019, Mini projects 2018-2019,Mini projects for ece 2018-2019,Mini projects for cce 2018-2019,Mini projects for eee 2018-2019,electrical projects for engineering students 2018-2019, M Tech projects in machine design 2018-2019,M Tech projects in embedded systems 2018-2019,M Tech projects in power electronics and drives 2018-2019,M Tech projects for production engineering 2018-2019,M Tech projects for digital communication 2018-2019, mtech project institutes in Bangalore, projectsatbangalore, ieee online projects.best projects center in Chennai, best projects center in trichy, best projects center in Bangalore|Project Consultants, Mechanical Engineering Project Consultants, Project Consultants For Embedded System, Engineering Project Consultants, Project Consultants For M Tech, Project Consultants For Digital Signal Processing, Project Consultants For Vlsi, Project Consultants For B Tech, Electrical Project Consultants| ieee java projects , ieee dotnet projects, ieee android projects, ieee cloud computing projects, ieee system and circuits projects, ieee data mining projects, ieee image processing projects, ieee matlab projects, ieee simulink projects, matlab projects, vlsi project, PHD projects,ieee latest MTECH title list,ieee eee title list,ieee download papers,ieee latest idea,ieee papers,ieee recent papers,ieee latest BE projects,ieee B tech projects| Engineering Project Consultants bangalore, Engineering projects jobs Bangalore, Academic Project Guidance for Electronics, BCA live projects institutes in Bangalore, B.Tech live projects institutes in Bangalore,MCA Live Final Year Projects Institutes in Bangalore,M.Tech Final Year Projects Institutes in Bangalore,B.E Final Year Projects Institutes in Bangalore , M.E Final Year Projects Institutes in Bangalore,Live Projects,Academic Projects, IEEE Projects, Final year Diploma, B.E, M.Tech,M.S BCA, MCA Do it yourself projects, project assistance with project report and PPT, Real time projects, Academic project guidance Bengaluru,best projects center in Chennai, best projects center in trichy, best projects center in bangalore|Clustering, cosine similarity, data mining, K-Means clustering|Flight Crash Investigation Using Data Mining Techniques
2018 IEEE Transaction Paper on Data Mining: Easy Paper to implement set 1
 
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Paper 1: Data-Pattern Enabled Self-Recovery Low-Power Storage System for Big Video Data. Paper 2: Online Signature Verification Based on Stable Features Extracted Dynamically. Paper 3: Contextual Exemplar Classifier Based Image Representation for Classification. Paper 4: ESIM: Edge Similarity for Screen Content Image Quality Assessment. Paper 5: Depth-Projection-Map-Based Bag of Contour Fragments for Robust Hand Gesture Recognition. Paper 6: Image Class Prediction By Joint Object, Context and Background Modeling. Paper 7: Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks. Paper 8: Face Anti-Spoofing using Speeded-Up Robust Features and Fisher Vector Encoding. Paper 9: Context-Aware Local Binary Feature Learning for Face Recognition. Paper 10: Data-Dependent Label Distribution Learning for Age Estimation. Paper 11:Data-Dependent Label Distribution Learning for Age Estimation. Paper 12: Fog Density Estimation and Image Defogging Based on Surrogate Modeling for Optical Depth. Paper 13: Neuron Segmentation with High-Level Biological Priors. Paper 14: Learning Correspondence Structures for Person Re-identification. Paper 15: Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition. Paper 16: Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition based on Hierarchical MRFs. Paper 17: Deep Representation based feature extraction and recovering for Finger-vein verification. Paper 18: Fast Image Dehazing Method Based on Linear Transformation. Paper 19: Detecting morphological filtering of binary images. Paper 20: Neighborhood Matching For Image Retrieval.
Views: 580 Ashwini Cly
Intelligent Heart Disease Prediction System Using Data Mining Techniques
 
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mining text data projects
 
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Views: 74 PHD Projects
How to choose final year project topic in any branch of engineering ?
 
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This video is all about giving helpful tips and advice to all engineering students who are going to undertake final year project topic. One can use this information to do effective execution of the project at hand. http://www.mechanicalduniya.com/2012/03/mechanical-engineering-final-year.html http://www.mechanicalduniya.com/2014/06/things-you-should-do-after-choosing-final-year-project-mechanical-engineering.html Like, Share and Subscribe my channel for more videos http://www.youtube.com/user/p07ip705?sub_confirmation=1
Views: 44335 Paresh Gujarati
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: 4906 Nevon Projects
Lecture 6 - Trend Detection In Twitter Social Data (Analyzing Big Data With Twitter)
 
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http://blogs.ischool.berkeley.edu/i290-abdt-s12/ Lecture 6: Kostas Tsioutsiouliklis on Twitter Trends and how to compute them Lecture notes: http://blogs.ischool.berkeley.edu/i290-abdt-s12/files/2012/08/Kostas_Trends_Sept_13_2012.pdf Course: Information 290. Analyzing Big Data with Twitter School of Information UC Berkeley Prof. Marti Hearst Course description: How to store, process, analyze and make sense of Big Data is of increasing interest and importance to technology companies, a wide range of industries, and academic institutions. In this course, UC Berkeley professors and Twitter engineers will lecture on the most cutting-edge algorithms and software tools for data analytics as applied to Twitter microblog data. Topics will include applied natural language processing algorithms such as sentiment analysis, large scale anomaly detection, real-time search, information diffusion and outbreak detection, trend detection in social streams, recommendation algorithms, and advanced frameworks for distributed computing. Social science perspectives on analyzing social media will also be covered. This is a hands-on project course in which students are expected to form teams to complete intensive programming and analytics projects using the real-world example of Twitter data and code bases. Engineers from Twitter will help advise student projects, and students will have the option of presenting their final project presentations to an audience of engineers at the headquarters of Twitter in San Francisco (in addition to on campus). Project topics include building on existing infrastructure tools, building Twitter apps, and analyzing Twitter data. Access to data will be provided.
How to Build a Text Mining, Machine Learning Document Classification System in R!
 
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We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
Views: 162370 Timothy DAuria
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: 1517817 ExcelIsFun
IEEE Final Year Project Titles 2016-17 - Java - Cloud Computing
 
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Download the PDF at https://goo.gl/dyJg8C Visit http://www.CTechProjects.com for more information.
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: 1196 PyData
Student Faculty Document Sharing Android Project
 
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Get this project at http://nevonprojects.com/student-faculty-document-sharing-android-project/ Project allows for efficient student and faculty document sharing using android app
Views: 84975 Nevon Projects
IEEE Projects for CSE - Java Project Titles 2016-17
 
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Download the PDF at https://goo.gl/Ngxjd2 Visit http://www.CTechProjects.com for more information.
Data mining projects using weka
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-projects-uk/
Views: 2986 PHD Projects
Social media data mining for counter-terrorism | Wassim Zoghlami | TEDxMünster
 
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Using public social media data from twitter and Facebook, actions and announcements of terrorists – in this case ISIS – can be monitored and even be predicted. With his project #DataShield Wassim shares his idea of having a tool to identify oncoming threats and attacks in order to protect people and to induce preventive actions. Wassim Zoghlami is a Tunisian Computer Engineering Senior focussing on Business Intelligence and ERP with a passion for data science, software life cycle and UX. Wassim is also an award winning serial entrepreneur working on startups in healthcare and prevention solutions in both Tunisia and The United States. During the past years Wassim has been working on different projects and campaigns about using data driven technology to help people working to uphold human rights and to promote civic engagement and culture across Tunisia and the MENA region. He is also the co-founder of the Tunisian Center for Civic Engagement, a strong advocate for open access to research, open data and open educational resources and one of the Global Shapers in Tunis. At TEDxMünster Wassim will talk about public social media data mining for counter-terrorism and his project idea DataShield. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 1981 TEDx Talks
RESEARCH PAPER FORMAT (in Hindi)
 
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find relevant notes-https://viden.io/search/knowledge?query=computer+science also search PDFs notes-https://viden.io More videos like this: https://www.youtube.com/playlist?list=PL9P1J9q3_9fNmTX2ZkUnboMBp8yU_GHYj
Views: 85656 LearnEveryone
Web Research and Data Mining
 
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This video describes my professional work of Web Research and Data Mining.
Views: 17 Ndi Malik
TV Show Popularity Analysis Using Data Mining | Cloud Technologies
 
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TV Show Popularity Analysis Using Data Mining Cloud technologies is one of the best renowned software development company In Hyderabad India. We guide and train the students based on their qualification under the guidance of vast experienced real time developers.
Views: 244 Cloud Technologies
Omnet++ Project for Engineering students|IEEE omnet++ Projects | www.startechnologychennai.com
 
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mca final year project #1 (2018 new)
 
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MCA final year project #1 (2017 new) #mcafinalyearproject #mcaprojects #mca #ieee #projects #finayear #final #year #miniproject #2018 #2019 #free #download DISCLAIMER!!! ------------------------------- ***********THIS IS ENTIRELY MENT FOR EDUCATIONAL PURPOSE ONLY*********** ------------------------------------------------------------------------- ---------Can i get 100 likes for this video please...?------------------ PROJECT NAME -------------- "RATING PREDICTION BASED ON SOCIAL SENTIMENT FROM TEXTUAL REVIEW." DOWNLOAD LINK:- ---------------- http://swiftation.com/F8az To download it 👆 in your latest android, you need this👇 app to be installed in your mobile... --------------------------------------------------------------------------------------------------------------------------------------- https://play.google.com/store/apps/details?id=mega.privacy.android.app Through this 👆 app you can download file in your android.. Thanks to Meganz. Link 👇 https://mega.nz/#!R0UyWAQT!oukEw0oBt5sVp7a-OFJ2K7HN6SmaSKpBnu6ypzFczIQ PASSWORD:- ------------- vikramnvp11(lowercase) NETBEANS IDE DOWNLOAD for windows:- ----------------------------------------- http://netbeans.org MYSQL for windows:- ------------------------- http://dev.mysql.com/downloads/ WinRar download for windows:- --------------------------------- http://www.win-rar.com/download.html?&L=0 java download link:- ----------------------------- https://java.com/en/download/ Links to buy tools which i use: ------------------------------------------------------------ VIVO V9 - https://amzn.to/2KZVmxW Selfi Stick - https://amzn.to/2LyRd52 Tripod - https://amzn.to/2IPnVSa Ball Head - https://amzn.to/2xjLayi Audio Recorder (ZOOM H1) - https://amzn.to/2IPnVSa Rechargable battery and addapter - https://amzn.to/2kuAp2O YI sports action camera - https://amzn.to/2IV04fB YI Helmet mount - https://amzn.to/2Ly16jH Wp 101 Pop Filter - https://amzn.to/2sffILT Green Screen - https://amzn.to/2sh2X3z Caller mic - https://amzn.to/2IPoBXI VISIT NCS[NoCopyrightSounds] ---------------------------- Special thanks to NCS & Alan Walker http://www.youtube.com/user/NoCopyrightSounds MUSIC USED IN THIS VIDEO IS: ---------------------------- Elektronomia - Sky High [NCS Release] Alan Walker - Fade [NCS Release] how to connect mobile internet to pc via usb ============================================= https://www.youtube.com/watch?v=BM9PshFCLpA how to solve download problem in mobile (2017 new) ================================================== https://youtu.be/P4wBk7n2ppA starting tomcat v8.0 server at localhost has encountered a problem (2017 eclipse neon 2.0) ========================================================================================== https://youtu.be/p_AwVJPTG3I How to fix: -Grub rescue (new 2017) =================================== https://youtu.be/NkLDfLf-7BI How to stop ongoing downloads in android ======================================== https://www.youtube.com/watch?v=gmkBWu9jseo Visit YTB audio library:- ------------------------------- https://www.youtube.com/audiolibrary/music Visit NCS :- ------------------ https://www.youtube.com/channel/UC_aEa8K-EOJ3D6gOs7HcyNg Thanks to Google and YouTube. Please hit like and subscribe to my channel. Thanks for watching. ****************************************************************IMULTA**************************************** mca projects mca final year projects mca final projects mca project mca final year project mca final project vikramnvp11 mca 6th sem projects mca 6th sem project computer application project computer application projects mca final year project mca final year project 2017 new mca mca final year project documentation pdf rating prediction based on social sentiment from textual reviews project mca final year project 2017 new mca final year project mca final year project documentation pdf rating prediction based on social sentiment from textual reviews android rating prediction ieee projects year how to how to use mobile internet on pc mobile ieee projects 2016 mca android year vikramnvp11 solution domain how to connect mobile internet to pc how to mobile rit rookee mca student project final year project downlood from gooogle diy it diy projects easy vikramnvp11 domain solution solution domain how to mobile tips computer tips funny videos programming programming videos how to make android
Views: 5739 Solution Domain
013 Template Context | django ecommerce | django
 
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Python is at number one in top technologies in the world, with top rate python rest framework django. now a days it's bein use in almost every technology like Data Mining, Machine Learning, Internet Of THings (IOT), Data Sacience, Big Data, Data Analysis....etc If you are willing to learn Python Django framework for building your ECommerce Web Application or Learning Django Framework then this course is specially for you. You can build your Own ECommerce Application at free of Cost. Now the Django Comlete Course for Building Ecommerce Applicaion is Availabel for free Now Major Topics Covered in in this complete udemy course are listed Below. Topics: 1. Getting Started 2. Hello World 3. Products Component 4. Templates 5. Bootstrap Framework 6. Search Component 7. Cart Component 8. Checkout Process 9. Fast Track to jQuery 10. Products & Async 11. Custom User Model 12. Custom Analytics 13. Stripe Integration 14. Mailchimp Integration 15. Go Live 16. Account & Settings 17. Selling Digital Items 18. Graphs and Sales 19. Thank you Don't forget to subscribe my channel for more premium content related to technology, bussiness class study and other kind of premium courses for free of cost. Youtube Channel Link: https://www.youtube.com/channel/UCUGY8RiGqnWW9qBSnQ2c8TA Complete fiverr seo course link: https://www.youtube.com/watch?v=yBDOb80oeFo&list=PLV2_Iivd4jxYDgPAtossMcZrvnTY8EBVy Check out for other courses like: Internet marketing: https://www.youtube.com/watch?v=Kik2yfe2Oog&list=PLV2_Iivd4jxbsUwA9cOEaM804euT0OGbp Python django ecommerce: https://www.youtube.com/watch?v=5bTvseLFkAo&list=PLV2_Iivd4jxYVDWCcxmccusNaUx2kWCg1 Have a Nice Day. how to learn python? how ecommerce website design. how to do ecommerce website development? what is ecommerce website? ecommerce website templates? what is python ecommerce? best django tutorial. how to do ecommerce business? ecommerce website. django server. python tutorial for beginners. python tutorials. python projects. python web development. python language. python projects for begineers.
Views: 137 ePayMinds
Bitcoin Q&A: MimbleWimble and Dandelion
 
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What is the story behind MimbleWimble? What is Grin? What is a Dandelion transaction relay, as described in BIP156, and how does it improve the anonymity of the Bitcoin network? CLARIFICATION/ CORRECTION: At 1:14, I talk the origins of MimbleWimble. The PDF was submitted to the Bitcoin research IRC channel on August 2nd, 2016. The pseudonymous author used the name "Tom Elvis Jedusor," which is the French version of Voldemort's real name. I also say that the name "MimbleWimble" was referencing the name of a spell from Harry Potter, which is the Tongue-Tying Curse and prevents someone from speaking about (not "seeing") something: http://harrypotter.wikia.com/wiki/Tongue-Tying_Curse At 6:08, I was unable to list the names of the team members behind the Dandelion proposal. They are Giulia Fanti, Shaileshh Bojja Venkatakrishnan, Surya Bakshi, Bradley Denby, Shruti Bhargava, Andrew Miller and Pramod Viswanath (researchers at Carnegie Mellon, MIT, and the University of Illinois). Read the MimbleWimble paper here: https://scalingbitcoin.org/papers/mimblewimble.pdf Andrew Poelstra's MimbleWimble presentation: https://youtu.be/aHTRlbCaUyM More information on BIP-156: https://github.com/gfanti/bips/blob/master/bip-dandelion.mediawiki The BIP-156 pull request: https://github.com/bitcoin/bitcoin/pull/13947 NOTE: As usual, this video is intended as an educational resource on topics such as blockchain protocols (i.e. MimbleWimble) and not as an endorsement of specific implementations (e.g. Grin). These questions were part of the July and (late) August monthly live Patreon Q&A sessions, which took place on July 28th and September 1st 2018 respectively. If you want early-access to talks and a chance to participate in the monthly live Q&As with Andreas, become a patron: https://www.patreon.com/aantonop RELATED: Worse than Useless: Financial Surveillance - https://youtu.be/n4F-h4xuXMk Money as a System-of-Control - https://youtu.be/FyK4P7ZdOK8 The Stories We Tell About Money - https://youtu.be/ONvg9SbauMg Bitcoin: Privacy, Identity, Surveillance and Money - https://youtu.be/Vcvl5piGlYg ADISummit: Self-Sovereign Identity Panel - https://youtu.be/DZbyiJqKT8c How is fungibility tied to privacy? - https://youtu.be/VuI-8EwqIS8 Public keys versus addresses - https://youtu.be/8es3qQWkEiU Re-using addresses - https://youtu.be/4A3urPFkx8g Coin selection and privacy - https://youtu.be/3Ck683CQGAQ Airdrop coins and privacy implications - https://youtu.be/JHRnqJJ0rhc Wallet design and mass adoption - https://youtu.be/WbZX6BDZJHc How do I choose a wallet? - https://youtu.be/tN6b62sEpsY Using paper wallets - https://youtu.be/cKehFazo8Pw Exchanges, identity, and surveillance - https://youtu.be/TVFy8xXfxAA The price of losing privacy - https://youtu.be/2G8IgiLbT_4 Layered scaling and privacy - https://youtu.be/4w-bjUhpf_Q Lightning and onion routing - https://youtu.be/D-nKuInDq6g What is the roadmap? - https://youtu.be/5Eoj_sKyC90 SegWit and fork research - https://youtu.be/OorLoi01KEE MimbleWimble and Schnorr signatures - https://youtu.be/qloq75ekxv0 Schnorr signatures and the privacy roadmap - https://youtu.be/JeJzwZgxF50 Block capacity and embedded data - https://youtu.be/JXt0v54nojI Mixing services - https://youtu.be/rKoMvOH4zoY Borderless money - https://youtu.be/EZh1-ZqffOw Andreas M. Antonopoulos is a technologist and serial entrepreneur who has become one of the most well-known and respected figures in bitcoin. Follow on Twitter: @aantonop https://twitter.com/aantonop Website: https://antonopoulos.com/ He is the author of two books: “Mastering Bitcoin,” published by O’Reilly Media and considered the best technical guide to bitcoin; “The Internet of Money,” a book about why bitcoin matters. THE INTERNET OF MONEY, v1: https://www.amazon.co.uk/Internet-Money-collection-Andreas-Antonopoulos/dp/1537000454/ref=asap_bc?ie=UTF8 [NEW] THE INTERNET OF MONEY, v2: https://www.amazon.com/Internet-Money-Andreas-M-Antonopoulos/dp/194791006X/ref=asap_bc?ie=UTF8 MASTERING BITCOIN: https://www.amazon.co.uk/Mastering-Bitcoin-Unlocking-Digital-Cryptocurrencies/dp/1449374042 [NEW] MASTERING BITCOIN, 2nd Edition: https://www.amazon.com/Mastering-Bitcoin-Programming-Open-Blockchain/dp/1491954388 Translations of MASTERING BITCOIN: https://bitcoinbook.info/translations-of-mastering-bitcoin/ Subscribe to the channel to learn more about Bitcoin & open blockchains! Music: "Unbounded" by Orfan (https://www.facebook.com/Orfan/) Outro Graphics: Phneep (http://www.phneep.com/) Outro Art: Rock Barcellos (http://www.rockincomics.com.br/)
Views: 11620 aantonop
IEEE PROJECTS 2016 TITLE LIST | MATLAB POWER ELECTRONICS | IEEE PROJECTS 2017
 
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IEEE PROJECTS 2016 TITLE LIST | MATLAB POWER ELECTRONICS | IEEE PROJECTS 2017 +91-9994232214,7806844441, [email protected], www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2016-2017 ----------------------------------- Contact:+91-9994232214,+91-7806844441 Email: [email protected] ieee projects, ieee projects chennai, ieee projects 2016,ieee projects 2017, final year project topics for information technology, latest project topics for ece, final year projects for cse in java, mini electronic projects, ece main projects on embedded systems, final year project ece, embedded based projects for final year, electronics projects for students, latest ieee projects for cse, ece projects for final year students, mini projects of ece, mini projects for ece 2nd year students, electronics for you mini projects list, ieee project topics for ece, ieee final year projects for eee, ieeeprojects, final year eee projects, project for ece final year, b tech ece projects, projects for ece in embedded systems, best mini projects for ece, b tech final year projects for cse, ieee electronics projects, projects in ece, latest ieee projects for ece, simple projects for ece, java based projects for final year students, computer science projects in java, electronics mini projects for engineering students, latest projects in ece, ieee projects for eee with abstract, ieee projects 2014, major projects for eee, ece main projects, ieee projects on network security, final year computer science projects topics, project for final year, projects on ece, list of projects for computer science students, major projects for ece in embedded systems, vlsi projects for final year ece, project ideas for cse, btech projects for cse, final year projects for cse in cloud computing, ece final year projects list, main projects for eee, ece mini project topics, ece mini project ideas, projects for ece final year students, final year projects for ece in vlsi, ieee projects for ece in vlsi, cse project ideas, project topics for computer science students, ieee based projects for ece, project topics for information technology final year, ieee xplore projects, ece mini projects circuits, ieee projects ece, major projects for cse final year, final year ieee projects, latest ieee projects, topics for mini project in ece, mini projects for eee 3rd year, ieee projects for cse 2014, engineering mini projects for ece, final year ece projects topics, final year projects for cse topics, list of mini projects for ece 3rd year, efy projects list, projects for ece engineering students, ieee projects for computer science, ieee project list, ieee mechanical projects, main projects for cse final year students, ieee projects on embedded systems for ece, cs project ideas, cse mini projects topics, cse projects topics, project topics for cse, btech projects for ece, major projects for ece students, ieee it projects, final year ieee projects for ece, final year project for it students, embedded system projects for final year ece, innovative project ideas for ece, new projects for ece, final year cse projects, mini projects on ece, projects for final year students, final year project titles, new project ideas in computer science, new mini projects for ece, major projects for ece final year, simple ece mini projects, final year project ideas for computer science, final year project for computer engineering in java, project ece,
Views: 1225 IEEE PROJECTS CHENNAI
R tutorial: What is text mining?
 
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Learn more about text mining: https://www.datacamp.com/courses/intro-to-text-mining-bag-of-words Hi, I'm Ted. I'm the instructor for this intro text mining course. Let's kick things off by defining text mining and quickly covering two text mining approaches. Academic text mining definitions are long, but I prefer a more practical approach. So text mining is simply the process of distilling actionable insights from text. Here we have a satellite image of San Diego overlaid with social media pictures and traffic information for the roads. It is simply too much information to help you navigate around town. This is like a bunch of text that you couldn’t possibly read and organize quickly, like a million tweets or the entire works of Shakespeare. You’re drinking from a firehose! So in this example if you need directions to get around San Diego, you need to reduce the information in the map. Text mining works in the same way. You can text mine a bunch of tweets or of all of Shakespeare to reduce the information just like this map. Reducing the information helps you navigate and draw out the important features. This is a text mining workflow. After defining your problem statement you transition from an unorganized state to an organized state, finally reaching an insight. In chapter 4, you'll use this in a case study comparing google and amazon. The text mining workflow can be broken up into 6 distinct components. Each step is important and helps to ensure you have a smooth transition from an unorganized state to an organized state. This helps you stay organized and increases your chances of a meaningful output. The first step involves problem definition. This lays the foundation for your text mining project. Next is defining the text you will use as your data. As with any analytical project it is important to understand the medium and data integrity because these can effect outcomes. Next you organize the text, maybe by author or chronologically. Step 4 is feature extraction. This can be calculating sentiment or in our case extracting word tokens into various matrices. Step 5 is to perform some analysis. This course will help show you some basic analytical methods that can be applied to text. Lastly, step 6 is the one in which you hopefully answer your problem questions, reach an insight or conclusion, or in the case of predictive modeling produce an output. Now let’s learn about two approaches to text mining. The first is semantic parsing based on word syntax. In semantic parsing you care about word type and order. This method creates a lot of features to study. For example a single word can be tagged as part of a sentence, then a noun and also a proper noun or named entity. So that single word has three features associated with it. This effect makes semantic parsing "feature rich". To do the tagging, semantic parsing follows a tree structure to continually break up the text. In contrast, the bag of words method doesn’t care about word type or order. Here, words are just attributes of the document. In this example we parse the sentence "Steph Curry missed a tough shot". In the semantic example you see how words are broken down from the sentence, to noun and verb phrases and ultimately into unique attributes. Bag of words treats each term as just a single token in the sentence no matter the type or order. For this introductory course, we’ll focus on bag of words, but will cover more advanced methods in later courses! Let’s get a quick taste of text mining!
Views: 23689 DataCamp
Project NOSQL
 
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Views: 57 Nam Nguyen
Data Mining using R | R Tutorial for Beginners | Data Mining Tutorial for Beginners 2018 | ExcleR
 
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Data Mining Using R (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information. Data Mining Certification Training Course Content : https://www.excelr.com/data-mining/ Introduction to Data Mining Tutorials : https://youtu.be/uNrg8ep_sEI What is Data Mining? Big data!!! Are you demotivated when your peers are discussing about data science and recent advances in big data. Did you ever think how Flip kart and Amazon are suggesting products for their customers? Do you know how financial institutions/retailers are using big data to transform themselves in to next generation enterprises? Do you want to be part of the world class next generation organisations to change the game rules of the strategy making and to zoom your career to newer heights? Here is the power of data science in the form of Data mining concepts which are considered most powerful techniques in big data analytics. Data Mining with R unveils underlying amazing patterns, wonderful insights which go unnoticed otherwise, from the large amounts of data. Data mining tools predict behaviours and future trends, allowing businesses to make proactive, unbiased and scientific-driven decisions. Data mining has powerful tools and techniques that answer business questions in a scientific manner, which traditional methods cannot answer. Adoption of data mining concepts in decision making changed the companies, the way they operate the business and improved revenues significantly. Companies in a wide range of industries such as Information Technology, Retail, Telecommunication, Oil and Gas, Finance, Health care are already using data mining tools and techniques to take advantage of historical data and to create their future business strategies. Data mining can be broadly categorized into two branches i.e. supervised learning and unsupervised learning. Unsupervised learning deals with identifying significant facts, relationships, hidden patterns, trends and anomalies. Clustering, Principle Component Analysis, Association Rules, etc., are considered unsupervised learning. Supervised learning deals with prediction and classification of the data with machine learning algorithms. Weka is most popular tool for supervised learning. Topics You Will Learn… Unsupervised learning: Introduction to datamining Dimension reduction techniques Principal Component Analysis (PCA) Singular Value Decomposition (SVD) Association rules / Market Basket Analysis / Affinity Filtering Recommender Systems / Recommendation Engine / Collaborative Filtering Network Analytics – Degree centrality, Closeness Centrality, Betweenness Centrality, etc. Cluster Analysis Hierarchical clustering K-means clustering Supervised learning: Overview of machine learning / supervised learning Data exploration methods Basic classification algorithms Decision trees classifier Random Forest K-Nearest Neighbours Bayesian classifiers: Naïve Bayes and other discriminant classifiers Perceptron and Logistic regression Neural networks Advanced classification algorithms Bayesian Networks Support Vector machines Model validation and interpretation Multi class classification problem Bagging (Random Forest) and Boosting (Gradient Boosted Decision Trees) Regression analysis Tools You Will Learn… R: R is a programming language to carry out complex statistical computations and data visualization. R is also open source software and backed by large community all over the world who are contributing to enhancing the capability. R has many advantages over other tools available in the market and it has been rated No.1 among the data scientist community. Mode of Trainings : E-Learning Online Training ClassRoom Training --------------------------------------------------------------------------- For More Info Contact :: Toll Free (IND) : 1800 212 2120 | +91 80080 09704 Malaysia: 60 11 3799 1378 USA: 001-608-218-3798 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: [email protected] Web: www.excelr.com
DATA MINING TASK IN HEALTHCARE SECTOR
 
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We were need to perform demonstration about data mining tasking in Health care sector.
Views: 34 khairul Habib
Machine Learning Bangla Course: Machine Learning Project Examples
 
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What is Machine Learning? Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) with data, without being explicitly programmed. Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining, where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning. What is Artificial Intelligence? (AI) Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving". For the previous part: https://youtu.be/lCTNknJYUAw For the next part: For the full Playlist: 1/How can we Master Machine Learning on Python? 2/How can we Have a great intuition of many Machine Learning models? 3/How can we Make accurate predictions? 4/How can we Make powerful analysis? 5/How can we Make robust Machine Learning models? 6/How can we Create strong added value to your business? 7/How do we Use Machine Learning for personal purpose? 8/How can we Handle specific topics like Reinforcement Learning, NLP and Deep Learning? 9/How can we Handle advanced techniques like Dimensionality Reduction? 10/How do we Know which Machine Learning model to choose for each type of problem? 11/How can we Build an army of powerful Machine Learning models and know how to combine them to solve any problem? Subscribe to our channel to get video updates. সাবস্ক্রাইব করুন আমাদের চ্যানেলেঃ https://www.youtube.com/channel/UC50C-xy9PPctJezJcGO8q2g/videos?sub_confirmation=1 Follow us on Facebook: https://www.facebook.com/Planeter.Bangladesh/ Follow us on Instagram: https://www.instagram.com/planeter.bangladesh Follow us on Twitter: https://www.twitter.com/planeterbd Our Website: https://www.planeterbd.com For More Queries: [email protected] Phone Number: +8801727659044, +8801728697998 #machinelearning #bigdata #ML #DataScience #DeepLearning #robotics #রোবটিক্স #প্ল্যানেটার #Planeter #ieeeprotocols #BLE #DataProcessing #SimpleLinearRegression #MultiplelinearRegression #PolynomialRegression #SupportVectorRegression(SVR) #DecisionTreeRegression #RandomForestRegression #EvaluationRegressionModelsPerformance #MachineLearningClassificatioModels #LogisticRegression #machinelearnigcourse #machinelearningcoursebangla #machinelearningforbeginners #banglamachinelearning #artificialintelligence #machinelearningtutorials #machinelearningbangla #banglamachinelearning
Views: 1078 Planeter
Wireless networking of dedicated computers
 
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Views: 161 MTech Project
ocular recognition for blinking eyes  |IEEE projects for ECE,EEE,CSE 2018-2019
 
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Data Mining Final Project Video Demonstration- Breast Cancer Wisconsin(Diagnostic) Data Set
Views: 35 Arpit Choudhary

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