Predicting House Value with Regression Algorithms

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