Mastering Structured Data

Learning Objectives

By the end of this chapter, you will be able to:

• Work with structured data to create highly accurate models
• Use the XGBoost library to train boosting models
• Use the Keras library to train neural network models
• Fine-tune model parameters to get the best accuracy
• Use cross-validation
• Save and load your trained models

This chapter will cover the basics on how to create highly accurate structured data models.