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3rd Place Winner | Waterloo CxC Hackathon Submission. A data analysis project using Python, Pandas, and XGBoost to prepare data sets and predict customer turnover for Infinite Investments Ltd.

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Predicting Customer Turnover for Infinite Investments Ltd.

3rd Place Winner | Waterloo CxC Hackathon Submission

This project focuses on predicting customer turnover for Infinite Investments Ltd. using data analysis and machine learning techniques. Leveraging Python, Pandas, and XGBoost, this solution prepares and analyzes data sets to predict which customers are at risk of leaving, helping the company take proactive measures to retain them.

About

3rd Place Winner | Waterloo CxC Hackathon Submission. A data analysis project using Python, Pandas, and XGBoost to prepare data sets and predict customer turnover for Infinite Investments Ltd.

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