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data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

datascienceresources

Open Source Data Science Resources.

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

elements-of-python-style

Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.

esac-stats-2014

Material for my lectures at the ESAC statistics conference, Oct 27-31 2014

euler-problems

A collections of codes for solving euler problems

fastai

The fast.ai deep learning library, lessons, and tutorials

go

The Open Source Data Science Masters

hello-world

First repository

introtodatascience

GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

machine-learning-books-with-python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

medical-data

mlalgorithms

Minimal and clean examples of machine learning algorithms

modern-pandas

moneyballproject

data manipulation and optimization project

pandas-cookbook

Recipes for using Python's pandas library

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-programming-exercises

100+ Python challenging programming exercises

pythondatasciencehandbook

Jupyter Notebooks for the Python Data Science Handbook

r4ds

R for data science

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"