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538 Election Forecasting Model
A collection of notebook to learn the Applied Predictive Modeling using Python.
:books: List of awesome university courses for learning Computer Science!
An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
Code for a tutorial on Bayesian Statistics by Allen Downey.
Source Code for the book Building Machine Learning Systems with Python
Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
CostSensitiveClassification Library in Python
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines. https://bit.ly/data-notes
The Code belonging to my udemy course "Data Analysis in Python and pandas"
Open Source Data Science Resources.
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Example code that may or may not still work (unsupported)
Financial Analysis in Python tutorial
Java library for fuzzy logic and reasoning using Java and/or the Jess Expert System Shell
Python module to perform under sampling and over sampling with various techniques.
A more compatible version of Infinite Mario
Notebooks and code for the book "Introduction to Machine Learning with Python"
A collection of IPython notebooks covering various topics.
IPython widgets for the Jupyter Notebook
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
Pure Java implementation of the Soar cognitive architecture.
Create, list, and load GitHub Gists from Jupyter notebooks
Solution code from my winning submission to Kaggle's PyCon 2015 competition
Open Content for self-directed learning in data science
Learning From Imbalanced Classes
Python coded examples and documentation of machine learning algorithms.
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.