GitHub / SridharYadav07 / Code_Alpha_Creditcard_Scoring

This repository serves as a comprehensive example of how to preprocess data, train a Random Forest classifier, and evaluate its performance using several key metrics. The insights gained from the confusion matrix, classification report, and ROC-AUC score help to assess where the model excels and where improvements might be needed.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SridharYadav07%2FCode_Alpha_Creditcard_Scoring

Topics: jupyter-notebook, labelencoder, machine-learning, numpy, pandas, python, random-forest-classifier, scikit-learn, standardscaler

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• Readme
• Dependencies