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Customer Churn Prediction Project by Bhavan is a document available to read on EtoBox.
What is Customer Churn Prediction Project about?
The project aims to predict customer churn in the telecom industry using machine learning techniques by analyzing historical customer data. It involves data preprocessing, exploratory data analysis, and the development of predictive models to identify potential churners and improve customer retention strategies. The project utilizes various tools and technologies, including Python, Scikit-learn, and Flask, with contributions from a team of members specializing in different roles.
- Author
- Bhavan
- Language
- EN