Linear Regression With Python: A Tutorial Introduc
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Linear Regression With Python: A Tutorial Introduc
## Linear Regression With Python: A Tutorial Introduction
Written by James V. Stone and published by Sebtel Press, this short book introduces the mathematics of linear regression in a tutorial style, supported by over 30 diagrams.
Each chapter closes with numerical examples in Python, with Python and Matlab code available online. It also gives a brief overview of nonlinear and Bayesian regression, plus a glossary and tutorial appendices.
**Best used for:** Students and self-learners who want to understand the maths behind regression using Python.
**Not recommended for:** Readers looking for a broad machine learning or general Python programming guide.
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