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The ipynb file consists of the project. I have used the "Churn_Modeling" dataset from Kaggle to build the model. I have created an ANN model and trained, tested and validated it. I created my own "FinalTest" dataset to test the model on unseen data. I have also performed data visualization. I have plotted the loss and accuracy factors of the ANN model built. The PPT file consists of the overview of my project. The PPT contains: Project tile, Problem statement, Project overview, End users, My soln & its value proposition, The wow factor of my solution, Modeling and the Results.

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This repository consists of my Naan Mudhalvan GenAI final project - Credit Card Customer Churn Prediction using ANN. This consists of the Python code as well as the PPT presentation.

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