jakevdp/PythonDataScienceHandbook

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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.

Toturials coming with the "data science roadmap" picture.

The fastai book, published as Jupyter Notebooks

A collection of machine learning examples and tutorials.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

List of Data Science Cheatsheets to rule the world