This repository contains Jupyter notebook code examples accompanying the ‘Python Machine Learning, 3rd edition’ book published by Packt Publishing. The notebooks demonstrate ML concepts including classification algorithms, model evaluation, ensemble methods, sentiment analysis, and deep learning with TensorFlow. Topics covered span scikit-learn for traditional ML, TensorFlow for deep learning, and general best practices for data preprocessing and dimensionality reduction.