Python Data Science Handbook: full text in Jupyter Notebooks

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Public facing notes page

From the basics to slightly more interesting applications of Tensorflow

Efficient Image Captioning code in Torch, runs on GPU

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

Text and supporting code for Think Stats, 2nd Edition

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

Introduction to Deep Neural Networks with Keras and Tensorflow

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Scenarios, tutorials and demos for Autonomous Driving

PyMC educational resources

Collection of useful notebooks and snippets

Self-study on Larry Wasserman's "All of Statistics"

Coursera Machine Learning - Python code

Deep Learning for Land-cover Classification in Hyperspectral Images.

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Solutions to Wasserman's 'All of Statistics'.

Avito Demand Prediction Challenge 🏬

ICDSS Machine Learning Workshop Series: Neural Networks

Android app to plot MPU6050 over Bluetooth