Chapter 1, Exploring the Machine Learning Landscape, will briefly review the various ML concepts that a practitioner must know. In this chapter, we will cover topics such as supervised learning, reinforcement learning, unsupervised learning, and real-world ML uses cases.
Chapter 2, Predicting Employee Attrition Using Ensemble Models, covers the creation of powerful ML models through ensemble learning. The project covered in this chapter is from the human resources domain. Retention of talented employees is a key challenge faced by corporations. If we were able to predict the attrition of an employee well in advance, it is possible that the human resources or management team could do something to save the potential attrition ...
