Chapter 1. Credit Risk Modeling

All the chapters in this book are practical applications. We will develop one application per chapter. We will understand about the application, and choose the proper dataset in order to develop the application. After analyzing the dataset, we will build the base-line approach for the particular application. Later on, we will develop a revised approach that resolves the shortcomings of the baseline approach. Finally, we will see how we can develop the best possible solution using the appropriate optimization strategy for the given application. During this development process, we will learn necessary key concepts about Machine Learning techniques. I would recommend my reader run the code which is given in this book. ...

Get Machine Learning Solutions now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.