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Supervised Machine Learning with Python
book

Supervised Machine Learning with Python

by Taylor Smith
May 2019
Intermediate to advanced
162 pages
4h 24m
English
Packt Publishing
Content preview from Supervised Machine Learning with Python

Implementing linear regression from scratch

Linear regression solves the least squares equation to discover the parameters vector theta. In this section, we will walk through the source code for a linear regression class in the packtml Python library and then cover a brief graphical example in the examples directory.

Before we look at the code, we will be introduced to the interface that backs all of the estimators in the book. It is called BaseSimpleEstimator, which is an abstract class. It's going to enforce only one method, which is predict. Different subclass layers are going to enforce other methods for different model families. But this layer backs all the models that we will build, as everything that we are putting together is supervised, ...

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Publisher Resources

ISBN: 9781838825669