12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Python Data Science Handbook: full text in Jupyter Notebooks

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Learn how to design, develop, deploy and iterate on production-grade ML applications.

10 Weeks, 20 Lessons, Data Science for All!

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.

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

Python programs, usually short, of considerable difficulty, to perfect particular skills.

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

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

💿 Free software that works great, and also happens to be open-source Python.

📡 Simple and ready-to-use tutorials for TensorFlow

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Python training for business analysts and traders

TensorFlow Tutorials with YouTube Videos

Recipes for using Python's pandas library

Collection of notebooks about quantitative finance, with interactive python code.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

The "Python Machine Learning (3rd edition)" book code repository

Python code for common Machine Learning Algorithms

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

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

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

All course materials for the Zero to Mastery Machine Learning and Data Science course.

This is Andrew NG Coursera Handwritten Notes.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques