Interpretable Machine Learning with Python - Second Edition: Build explainable, fair, and robust high-performance models with hands-on, real-world examples

Interpretable Machine Learning with Python: Build explainable, fair, and robust high-performance models with hands-on, real-world examples

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples