A comprehensive guide to machine learning and deep learning using the Python programming language, the PyTorch framework, and the scikit-learn library. The basics of MO, algorithms for classification problems, classifiers based on scikit-learn, data preprocessing and compression, modern methods for evaluating models and combining various models for ensemble training are considered.