Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

The fastai deep learning library, plus lessons and tutorials

YSDA course in Natural Language Processing

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton’s Book and David Silver’s course.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Advanced Machine Learning with Scikit-learn part II

Ready to learn or review your knowledge! You will learn 10 skills as data scientist: Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano…., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

Datasets, Transforms and Models specific to Computer Vision