Educational Implementation · Jupyter Notebook
ml-from-scratch
A growing collection of ML algorithms implemented from scratch in Python with NumPy
What it is
This repository contains from-scratch NumPy implementations of K-Nearest Neighbors, linear regression, and logistic regression, each with a README explaining the algorithm and usage, and a notebook demonstrating training and evaluation for linear regression.
Where it counts
- Machine Learning90%
- Data Science20%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
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