Found 16 repositories(showing 16)
JainKanika10
ShopperSpectrum
JainKanikaJan10
ShopperSpectrum
Rathipriyadv111
No description available
sonacharm18-prog
No description available
puneethsai001
No description available
Preetam-Vamsi-2006
No description available
nilofer-khatri
Customer segmentation and product recommendation using RFM, KMeans, and Streamlit
ishaq527
Created Stream lit web application for recommendations
Vsreddy123
No description available
HariKhamala
No description available
sagar3103
Customer Recommendation of Products & Customer Segmentation into Clusters
aniket010011
Shopper Spectrum Clustering and Recommendation
WillisOgecha1
No description available
Nithya-Satishkumar
Shopper Spectrum: A smart tool that helps online stores understand different types of customers and suggest products they’re likely to prefer—using machine learning and interactive visuals.
Shyamsr1
A complete data science pipeline for online retail analysis including EDA, hypothesis testing, RFM-based customer segmentation, clustering models, product recommendations, Streamlit UI, and automated PDF report generation
nilofer-khatri
Shopper Spectrum is a data science project that segments customers using RFM analysis and KMeans clustering, and provides personalized product recommendations using collaborative filtering. Built with Python and deployed using Streamlit.
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