MACHINE LEARNING WITH PYTHON

Description

This book provides an introductory and application-oriented study of machine learning with Python. It covers artificial intelligence concepts, Python programming, mathematical foundations, data preprocessing, feature engineering, model evaluation, advanced methods, deployment, applications, responsible AI, projects, and generative AI. Examples, review questions, exercises, case studies, and key terms support classroom teaching and independent learning. The emphasis remains on sound problem formulation, reproducible workflows, appropriate evaluation, and responsible use of data-driven systems.