Unsupervised Anomaly Detection on Breast Cancer data using PyOD (kNN & ABOD) and PCA visualization.
-
Updated
Feb 16, 2026 - Jupyter Notebook
Unsupervised Anomaly Detection on Breast Cancer data using PyOD (kNN & ABOD) and PCA visualization.
An end-to-end customer segmentation pipeline that groups online retail customers by purchasing behavior using RFM analysis and K-Means clustering, then uses Google Gemini to generate actionable marketing personas for each segment — all wrapped in an interactive Streamlit dashboard.
This project demonstrates a complete data science lifecycle – from raw data to a deployed tool that delivers real business value.
Add a description, image, and links to the pca-visualization topic page so that developers can more easily learn about it.
To associate your repository with the pca-visualization topic, visit your repo's landing page and select "manage topics."