Apache Spark for Machine Learning

Part 2: Supervised Learning

In this part, you will explore the key concepts, algorithms, and applications of supervised learning – one of the most fundamental techniques in machine learning. Supervised learning involves training a model on labeled data, enabling it to make predictions or decisions based on new, unseen data. This part will provide you with a comprehensive understanding of how to build, evaluate, and optimize supervised learning models.

The chapters in this part will guide you through the essential methods and best practices for applying supervised learning to real-life problems. You will learn how to build regression and classification models, select appropriate algorithms, and improve model performance through feature engineering ...