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

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

Google Research

The fastai deep learning library

Python toolkit for quantitative finance

A complete course for learning Bitcoin programming and usage from the command

[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!