📘 Summary

Mastering Machine Learning with Python: Hands-On Applications presents practical techniques for building, training, and deploying machine learning models using Python libraries. It covers data preprocessing, feature engineering, classification, regression, clustering, model evaluation, and real-world case studies. Emphasis is placed on scikit-learn, pandas, NumPy, and TensorFlow to solve applied problems efficiently.