Educational Implementation · Jupyter Notebook

Linear-Regression-Scratch

kamran akmal@kamranakamal · Atlas 61.6 · #19= builder

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What it is

This repository provides an educational walkthrough of linear regression implemented from scratch using NumPy, with data loading and preprocessing handled by scikit-learn, and includes both a Python script and a Jupyter notebook that demonstrate training on the California Housing dataset.

Scored atbd3a2179 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

Machine Learning90%
Data Science60%
MLOps10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

What the judge found

Read from the project's code at its scored commit.

Strengths3

Clear, step-by-step educational narrative in the notebook.
Both a standalone script and a notebook are provided, catering to different preferences.
End-to-end demonstration from data acquisition to model evaluation and visualization.

Limitations

The owner keeps this project's limitations private.

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