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Applaying different machine learning algorithms (Naive-Bayes, KNN, Decision Tree, Random Forest) on loan prediction data sets. Goal is to train a model to predict client risk for loan approval.

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Applaying different machine learning algorithms (Naive-Bayes, KNN, Decision Tree, Random Forest) on loan prediction data sets. Goal is to train a model to predict client risk for loan approval.

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