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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
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