ML for Trading - 2nd Edition This book aims to show how ML can add value to algorithmic trading strategies in a practical yet comprehensive way. It covers a broad range of ML techniques from linear regression to deep reinforcement learning and demonstrates how to build, backtest, and evaluate a trading strategy driven by model predictions.

Updated 2023-09-15 11:16:05 +08:00

MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions. Source from: Caution!!! As of Feb 2021: MachineLearningStocks is no longer actively maintained

Updated 2023-09-15 11:16:05 +08:00

notebooks for

Updated 2023-09-05 09:37:24 +08:00

It is an utility library for Kaggle and offline competitions. It is particularly focused on experiment tracking, feature engineering, and validation.

Updated 2023-08-18 20:32:25 +08:00