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Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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 ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Your new Mentor for Data Science E-Learning.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
The "Python Machine Learning (1st edition)" book code repository and info resource
Practice your pandas skills!
《Python Cookbook》 3rd Edition Translation
Public facing notes page
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
YSDA course in Natural Language Processing
TensorFlow Tutorials with YouTube Videos
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Build your neural network easy and fast, 莫烦Python中文教学
Notebooks and code for the book "Introduction to Machine Learning with Python"
Deep Learning Specialization by Andrew Ng on Coursera.
Visualizations for machine learning datasets
Toturials coming with the "data science roadmap" picture.
The "Python Machine Learning (2nd edition)" book code repository and info resource