Two differrent approach to predict Churn customers and finding out important variables that drives churn
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Oct 19, 2020 - Python
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telecom-churn-prediction
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This is a Streamlit web application for predicting Telecom Churn. The app uses a trained machine learning model to predict whether a customer is likely to churn or not based on certain input features.
python random-forest scikit-learn pandas pickle gridsearchcv streamlit telecom-churn-prediction streamlit-cloud
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Jun 30, 2023 - Python
Telecom companies face significant challenges with customer churn, often losing customers due to dissatisfaction. This project explores a novel solution for proactively identifying and addressing customer dissatisfaction before it leads to churn. This project was done during a 36-hour hackathon at VIT Chennai and presented to a Nokia representative
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Updated
Dec 28, 2024 - Python
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