Stars
Preparing for machine learning interviews
Python translation with commentary of the book Statistical Rethinking by Richard McElreath
Hidden Markov Models in Python, with scikit-learn like API
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
Content for Udacity's Machine Learning curriculum
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A short guide on features of Python 3 with examples
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A few notebooks on deep learning with PyTorch
Use machine learning to predict Heroes of the Storm games
Introduction to Deep Learning for Natural Language Processing
Just because I wanted to win a bet, some machine learning about the fifa world cup :)
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
This curated list contains python packages for time series analysis
Tutorial: Web scraping in Python with Beautiful Soup
amueller / word_cloud < 8A4B /h3>
A little word cloud generator in Python
[RETIRED] See Voilà as a supported replacement
implementation of Collabrative Filtering way of recommendation engine
Implemented Item, User and Hybrid based Collaborative Filtering
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
This repository contains research we conduct at Vocapouch we want to share with the world.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Some experiments with recommendation systems
Kaggle's competition for using Google's word2vec package for sentiment analysis
General Assembly's 2015 Data Science course in Washington, DC