Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
Open-source system where LLMs autonomously generate research ideas, run experiments, and write full scientific papers.
A 10-week, 20-lesson beginner curriculum teaching data science through project-based lessons with quizzes and assignments.
Public datasets and analysis code behind FiveThirtyEight's published articles and graphics.
Python library that computes Shapley-value explanations for the predictions of any machine learning model.
Jupyter notebooks and code samples accompanying Wes McKinney's book on data analysis with Python, pandas, and NumPy.
Web-based notebook environment for interactive computing, supporting code, text, and output in one document.
A collection of Jupyter notebook exercises with instructions and solutions for practicing pandas skills by topic.