Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- machine-learning
- trading
- investment
- finance
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Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Rust By Practice will evolve into Origin.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Learning Go Book in mmark
Build systems with Go examples
Coq code and exercises from the Coq'Art book [maintainers=@ybertot,@Casteran]