Python Data Science Handbook: full text in Jupyter Notebooks

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.

Companion webpage to the book "Mathematics For Machine Learning"

FinRL®: Financial Reinforcement Learning. 🔥

An open-source, low-code machine learning library in Python

Toturials coming with the "data science roadmap" picture.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

Create delightful software with Jupyter Notebooks

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Leetcode for Pytorch

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

[DEPRECATED] See the new edition:

Code of the IPython Minibook, 2nd edition (2015)