Unsupervised Learning Workshop 2

In this repository we are going to explore unsupervised machine learning methods for clustering, for this case will be KMeans and KMedoids and those methods will be built from scratch in a python package.

Also, we are going to review and implement the silhoutte score and how to analyze it visually on plots to decide the optimal number of clusters to create in our data

Steps to clone this repository:

git clone <ssh code>
pip install pipenv
pipenv shell
pipenv install