anikajairath/Ecommerce-Advanced-Analysis-Project
Advanced e-commerce analytics using Python, SQL, and ML techniques (RFM, K-Means, ARIMA) for customer segmentation, forecasting, and business insights.
Stars
—
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 26, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/anikajairath/Ecommerce-Advanced-Analysis-Project"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mukulsinghal001/customer-lifetime-prediction-using-python
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value...
kamalu-chioma/OpenRFM
Customer Segmentation based on Recency, Frequency and Monetary value
pramodkondur/Customer-Segmentation-RFM-CLV
This project analyzes online retail transaction data to identify distinct customer segments...
galafis/Customer-Behavior-Analytics
Analise de comportamento de clientes com segmentacao RFM (KMeans), previsao de churn (Random...
galafis/Customer-Segmentation-Analysis
Análise de Segmentação de Clientes usando Machine Learning.