Stefan Jansen

'Machine Learning for Trading - Third Edition'

Bog | Engelsk

Build and deploy AI-driven trading systems using the 7-Stage workflow with pandas, Polars, LightGBM, PyTorch, Optuna, zipline-reloaded, MLflow, Feast, and SHAP Key Features: - Build point-in-time pipelines, integrate alternative data, and ensure data inte

'Machine Learning for Algorithmic Trading'

Bog | Engelsk

Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Key Features: Design, train, and