Numerical Machine Learning

Linear Regression

Author(s): Zhiyuan Wang*, Sayed Ameenuddin Irfan*, Christopher Teoh* and Priyanka Hriday Bhoyar *

Pp: 6-27 (22)

DOI: 10.2174/9789815136982123010003

* (Excluding Mailing and Handling)


In this chapter, we delve into linear regression, a fundamental machine learning algorithm for predicting numerical values. While maintaining a concise overview of the mathematical theories, we prioritize an accessible approach by focusing on a concrete numerical example with a small dataset for predicting house sale prices. Through a step-bystep walkthrough, we illustrate the inner workings of linear regression and demonstrate its practical implementation. Additionally, we offer sample codes and a comparison with the linear regression model from scikit-learn to reinforce understanding. Upon completing this chapter, readers will gain a comprehensive understanding of linear regression's inner workings and its relationship to algorithm implementation and performance, and be better prepared to apply it to real-world projects. 

Keywords: Linear Regression, Numerical Example, Small Dataset, Housing Price Prediction, Scikit-Learn

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