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Small tutorials and posts explaining things about Machine Learning
Python codes for common Machine Learning Algorithms
Short Course - Applied Machine Learning for Risk Management
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
YSDA course in Natural Language Processing
Quantitative Economics with Python Course (NYU) Spring 2016
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
Git tracked security master and ingest scripts for a variety of financial data providers
Python for Finance – Second Edition, published by Packt
A Shiny repository and tutorial for testing out regular expression matching in R.
This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
Apps are built using Google Maps SDK, Geocoding and Foursquare APIs
A unified approach to explain the output of any machine learning model
My solution to the book <A collection of Data Science Take-home Challenges>
Troubleshooting Python Machine Learning[Video], published by Packt
Jupyter notebooks on time series econometrics topics.
Project work for the Udacity Data Analyst Nanodegree
Simple VaR calculation in Python, both for single value and VaR series in time. Supported formulas at the moment include: Parametric Normal, Parametric EWMA, Historical Simulation and Filtered Historical Simulation with EWMA.
Absolute and Weighted Word Frequency
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.