🍊 📊 💡 Orange: Interactive data analysis

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

General Assembly's 2015 Data Science course in Washington, DC

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

🎓 Jupyter notebooks from UFC data science course

Machine Learning in R

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

Telegram Data Clustering contest solution by Mindful Squirrel

🤖⚡️ scikit-learn tips

Carefully curated resource links for data science in one place

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A repository for recording the machine learning code

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

A high-level machine learning and deep learning library for the PHP language.

A PureScript, browser-based implementation of LDA topic modeling.

A Julia machine learning framework