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Technocolabs_data_science_internship

Credit card default prediction

•Cleaned and analysed the demographical and financial data of 30000 account holders.

•Applied different models like logistic regression, decision tree and random forest for classification.

•Performedhyperparametertuningandanalysedtheaverage4foldcross-validatedReceiverOperating

Characteristic (ROC-AUC) score foreachmodel to achieve thebest ROC-AUC score of 0.776.

•Derivedfinancialinsightsformthemodelsothattheclientcouldincreasehisprofitthroughvariousprogrammes.

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