This is a application where the model uses a client's financial and personal details and gives out a probability of the client paying back the loan
upto 12 metric where given, The values have been shortlisted based on relevance, impact and VIF.
only three metric are included which gives the correct output of what the probability might be on past records with upto 97% accuracy
This has been made possible by usage of regression models for prediction and user friendly UI using streamit. The refining of the dataset can be found in the notebook and the model is saved in a .pkl format
Kaushal G / @kaushalg47