This project focuses on customer churn prediction using Artificial Neural Networks (ANN) to identify customers likely to leave a service. It also includes a supporting salary regression model and is deployed using Streamlit for interactive, real-time predictions.
encoding neural-network tensorflow keras tensorboard scaling feature-engineering ann churn classifier-model streamlit randomforestclassifier regressor-models hyperparametric-tuning
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Updated
Mar 13, 2026 - Jupyter Notebook