This chapter will introduce the basics of regression algorithms and apply them to predict the price of houses given a number of features. We'll also introduce how to use logistic regression for classification problems. Examples in SageMaker Notebooks for scikit-learn, Apache Spark, and SageMaker's linear learner will be provided.
In this chapter, we will cover the following topics:
- Predicting the price of houses
- Understanding linear regression
- Evaluating regression models
- Implementing linear regression through scikit-learn
- Implementing linear regression through Apache Spark
- Implementing linear regression through SageMaker's linear learner
- Understanding logistic regression
- Pros and cons of linear models
