Dockerized ML application using flask api with vanilla html,css frontend. Apply machine learning models like Random Forest classifier and Gradient boosting methods and several others on loan default prediction data. Use client and loan information to predict whether loanee will default. https://www.kaggle.com/datasets/mamtadhaker/lt-vehicle-loan-default-prediction
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potatobox1/Credit_Evaluation-using-ML
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Dockerized ML application using flask API with vanilla HTML, CSS frontend. Use client and loan information to predict whether loanee will default.
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