MLFS - Machine Learning From Scratch

About

This repository contains the Python implementation of some Machine Learning algorithms using only numpy and scipy. The purpose is purely for self-learning and the implementations do not focus on efficiency, but rather on highlighting the inner workings.

Each model has a demo that can be run as follows:

python -m <model> run

Run the following to see the possible parameters to set:

python -m <model> run -- --help

For example:

python -m mlfs.supervised.knn run

Environment

conda env create -f environment.yml

Model Selection

• K-Fold Cross Validation

Supervised

• K-Nearest-Neighbors