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Project unveiled insights and trends from the Olist data and derived customer segments using RFM analysis. Developed ML models for customer segmentation, sales prediction, churn classification, and sentiment analysis.

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yashyaks/ecommerce-insights

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Olist-Customer-Segmentation--Churn-and-Sales-Prediction

This project focuses on customer segmentation, churn classification, and sales prediction in the e-commerce industry. By leveraging machine learning techniques and data analysis, The Project aimed to provide insights and strategies for optimizing customer retention and increasing sales revenue. This repository contains the code, datasets, and Reports related to these three key aspects of the project.

DASHBOARD: https://olist-eda.streamlit.app/

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Project unveiled insights and trends from the Olist data and derived customer segments using RFM analysis. Developed ML models for customer segmentation, sales prediction, churn classification, and sentiment analysis.

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