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exercises

Python exercises for data science

free-programming-books

freely available books

gadsdc

General Assembly Data Science DC

git-and-github

An introduction to git.

gtc2018-numba

Numba tutorial for GTC 2018

gym

A toolkit for developing and comparing reinforcement learning algorithms.

inception-resnet-flask-demo

Simple (and unsafe) TensorFlow Inception-ResnetV2 Demo with Flask

interactive-coding-challenges

Continually updated, interactive, test-driven Python coding challenges (algorithms and data structures) typically found in coding interviews.

intro-to-python

Introduction to Python (2014)

intro-to-sklearn

Notebooks covering introductory material to ML, ML with sklearn and tips.

intro-to-tensorflow

This is an introduction to tensorflow

ipython-quick-ref-sheets

This is ongoing work developing quick reference sheets for IPython

kaggle-pycon-2015

Solution code from my winning submission to Kaggle's PyCon 2015 competition

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

khan-academy-probability-statistics-ipynb

A collection of iPython Notebooks that follow the Khan Academy Probability and Statistics curriculum.

learndatascience

Open Content for self-directed learning in data science

lessons-learned-data-science-interviews

Lessons learned the hard way through over 30+ data science interviews

machinelearning

Machine learning and artificial intelligence

machinelearning-stanford

Study

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

ml_practice_pipeline

With an public dataset

mltutorial

Machine Learning Tutorial in IPython Notebooks

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nn

opinion-mining-project

Feature-Based Sentiment Analysis in Python

pandas-exercises

Walkthrough exercises from PandasTutorial by Wes McKinney.

pattern_classification

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

pbpython

Code, Notebooks and Examples from Practical Business Python

pipeline

Real-time, End-to-End, Advanced Analytics and Machine Learning Recommendation Pipeline

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)