An Overview of Machine Learning, Classification, and Regression
In this chapter, we will present an overview of the fundamentals of machine learning concepts. You will learn about supervised and unsupervised learning techniques, then visit classification and regression trees, and discuss ensemble models. Then you will learn about data preparation and engineering.
In this chapter we will be covering the following topics:
- Fundamentals of machine learning
- Supervised and unsupervised learning
- Classification and regression tree models
- Ensembled models – bagging vs boosting
- Data preparation and data engineering
