Leveraged Databricks to develop a Random Forest model for predicting customer churn. Utilized feature importance analysis to uncover key churn indicators, enhancing model accuracy. The model was deployed via a Flask API to support real-time predictions, driving data-driven retention strategies.
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Leveraged Databricks to develop a Random Forest model for predicting customer churn. Utilized feature importance analysis to uncover key churn indicators, enhancing model accuracy. The model was deployed via a Flask API to support real-time predictions, driving data-driven retention strategies.
srinikha193/Customer-Churn_Prediction_classification
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Leveraged Databricks to develop a Random Forest model for predicting customer churn. Utilized feature importance analysis to uncover key churn indicators, enhancing model accuracy. The model was deployed via a Flask API to support real-time predictions, driving data-driven retention strategies.
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