Predictive Modeling and Sentiment-Driven Recommendation System for Enhancing Customer Satisfaction in E-commerce
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Updated
Nov 1, 2024 - Jupyter Notebook
Predictive Modeling and Sentiment-Driven Recommendation System for Enhancing Customer Satisfaction in E-commerce
ππ―β¨ Harness the power of the RFM (Recency, Frequency, Monetary) method to cluster customers based on their purchase behavior! Gain valuable insights into distinct customer segments, enabling you to optimize marketing strategies and drive business growth. ππ‘π
As a Data Scientist at Megaline, a leading mobile operator, I developed a model to analyze consumer behavior. I aimed to recommend either the Smart or Ultra package from Megaline's latest offerings, with a minimum accuracy of 0.75.
Hello there! This repo contains python project based on E-Commerce Customer Behavior analysis.
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