This project is an implementation for clustering customer dealer data. The goal of this project is to seperate dealer data based on relevant features. This project was made for Machine Learning Course which utilizied K-Means Clustering.

1. Data Visualization.
2. Data Analysis.
3. Data Preprocessing.
4. Clustering with K-Means Algorithm from Scracth.
5. Evaluated K-Means Result.

At the beginning, you can clone this repository and you have to make sure that your machine has been installed with Python (3.11.4) and PIP (23.2.1). It is recommended for using virtual environment (venv). Inside the project you can do

python -m venv env

After that, make sure your env is active. Command bellow i used in windows terminal (cmd) for activing my environment

env\Scripts\activate

If your env is active, then you can install all depedencies from the requirements.txt

pip install -r requirements.txt

to use the project, you can execute the notebook file in the notebook folder.

jupyter notebook #run notebook