This repository contains Jupyter Notebooks with implementations of different ML models. For every Model there is an example with sklearn and an implementation from scratch.

At the top of each Notebook I linked the sources I used. My main source is sentdex's machine learning tutorial. The "example"-notebooks contain a brief explaination of the model used. In (almost) every "from-scratch"-Notebook I wrote an explaination of the model & code.

List of ML models that have been implemented:

• Linear regression
• K nearest neighbors
• Support vector machine
• Decision Tree
• Random Forest
• K Means
• Mean shift