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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Python scripts to extract tweets and facebook posts from public users.
Coursera data science projects
The Leek group guide to data sharing
A simple tool to download video lectures from edx.org (and other openedx sites)
Python code for common Machine Learning Algorithms
An analysis of the neighborhoods of Mumbai, based on property price, living expense, and venues
news-please - an integrated web crawler and information extractor for news that just works.
Full working examples in Python with accompanying dataset for Text Mining & NLP. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, word count with pyspark, simple text preprocessing, accessing pre-trained embeddings and more.
Credit: Dr. Brownlee at machinelearningmastery.com
Repo for small projects that fit inside a Jupyter Notebook. Inside: word2vec news analysis and regression, tutorial on working with survey data, and more.
Repository for Programming Assignment 2 for R Programming on Coursera
Python Scripts for Machine Learning Projects
scraping news articles from Quartz
Implementing twitter sentiment analysis using CNN and LSTMs
This project uses Lexicon-based approach for sentimental analysis of 1000 recent tweets of 4 countries. A sentiment score for each tweet is computed to ascertain the overall nature of the tweet.
We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.
Algorithmic Trading using Sentiment Analysis on News Articles
scraping the Survivor Wiki for voting data; computational analysis of alliances
Toolkit for integration and analysis
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
A crawler that can accumulate past tweets without the twitter API
performing sentiment analysis on the whatsapp chats.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.