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This repository covers an end-to-end machine learning pipeline, from data ingestion to model deployment, for credit card default prediction. Steps include data cleaning, EDA, feature engineering (dummy variables, PCA), and model training (Logistic Regression, MLP, SVM).

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aksh-ay06/Bank-Credit-Card-Default-Predictions

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This repository covers an end-to-end machine learning pipeline, from data ingestion to model deployment, for credit card default prediction. Steps include data cleaning, EDA, feature engineering (dummy variables, PCA), and model training (Logistic Regression, MLP, SVM).

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