MortezaLayegh/Customer_Churn_Prediction
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Link To Dataset: https://www.kaggle.com/datasets/sakshigoyal7/credit-card-customers. This platform is implemented in MPython Jupyter Notebook. In the following, you can see the instruction to run the code: Required Libraries: numpy==1.21.5 pandas==1.4.2 torch==1.3.1+cpu scikit-learn==1.1.3 skorch==0.12.1 seaborn==0.11.2 matplotlib==3.5.1 Instructions: - make sure all the files in the provided zip file are in the same directory - run test.ipynb on a jupyter notebook to test both MLP and SVM models and produce results - run train.ipynb" on a jupyter notebook to train MLP and Svm models Guidelines for the Project: -> For Testing the final models the preprocessed data is used(X_train, X_test, y_train, y_test. -> The new datasets are provided in the .zip folder but can also be reproduced by running the Train.ipnynb python notebook.