cereniyim / Customer-Segmentation-Unsupervised-ML-Model

In this procject, I worked on a real-world e-commerce sales data and segmented its customer base with Python, scikit-learn library and Plotly.

The workflow of the project is as follows:

1. Business Case
2. Data Preparation
3. Segmentation with K-means Clustering
4. Hyperparameter Tuning
5. Visualization and Interpretation of the Results

Article of the project "Customer Segmentation with Machine Learning" can be read here!

The notebook can be viewed in the nbviewer here with interactive plotly plots.