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

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

code for Data Science From Scratch book

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Examples and libraries for "Natural Language Processing in Action" book

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

Statistical Rethinking course and book package

Causal Inference and Discovery in Python by Packt Publishing

Code repository for the book SQL for Data Analysis

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Code Examples for Robust Python book

PyMC educational resources

Book about interpretable machine learning

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.