fedeghigo/Credit-Risk.Machine-learning-application.

This work aim to, on one side, the backend code develop on Python Notebook (code_credit_scoring_np.ipynb), for reason of readability, to find the best Hyperparameter in order to achieve the best forecast for the credit scoring with algorithm we analize during the thesis

Jupyter Notebook