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

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.

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.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

100-Days-Of-ML-Code中文版

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.

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

Solve puzzles. Learn CUDA.

Automatic extraction of relevant features from time series:

Notebooks and code for the book "Introduction to Machine Learning with Python"

Toturials coming with the "data science roadmap" picture.

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

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Data Science Using Python

Create delightful software with Jupyter Notebooks

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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

A high performance implementation of HDBSCAN clustering.

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

A python tutorial on bayesian modeling techniques (PyMC3)

Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

PyMC educational resources

Notebooks about Bayesian methods for machine learning