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Software structures organized as a sequential series of operations from input to evaluation.
Distinct from Linear Regression Implementations: Distinct from linear data structures or regression; describes the architectural flow of the project scripts.
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This project is a machine learning education resource consisting of Python implementations of statistical learning models and data analysis examples from a core textbook. It serves as a statistical modeling library that provides the code necessary to implement linear regression, classification, and unsupervised learning techniques for academic data analysis. The repository is structured as a reference-driven implementation, with a directory layout that mirrors the chapter and section hierarchy of the associated academic publication. It includes a set of scripts and notebooks designed to gener
Structures code as sequential steps from data loading through to model evaluation.