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Intermediate
Customer Segmentation for E-commerce using K-Means
Customer Segmentation for E-commerce using K-Means — built for academic submission
A machine learning project implementing customer segmentation for e-commerce using k-means, from data cleaning and model training through to an interactive prediction app.
What's included
- Data cleaning and exploratory analysis notebook
- Trained and evaluated ML model(s)
- Interactive dashboard/app for predictions
- Model comparison and evaluation metrics
- Report and viva preparation notes
Tech stack
PythonPandasScikit-learnStreamlit/Flask
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