Table of contents : Title Page Copyright Page Python for Machine Learning: From Fundamentals to Real-World Applications Chapter 1: Introduction to Machine Learning with Python Chapter 2: Data Preprocessing and Exploration Chapter 3: Supervised Learning: Regression Chapter 4: Supervised Learning: Classification Chapter 5: Unsupervised Learning: Clustering Chapter 6: Dimensionality Reduction Chapter 7: Model Selection and Hyperparameter Tuning Chapter 9: Neural Networks and Deep Learning Chapter 10: Natural Language Processing with Python Chapter 12: Time Series Analysis and Forecasting Chapter 13: Reinforcement Learning Chapter 14: Model Deployment and Serving Chapter 15: Ethics and Bias in Machine Learning Chapter 16: Real-World Machine Learning Projects Chapter 17: Case Studies in Industry