Banks earn a major revenue from lending loans. But it is often associated with risk. The borrower's may default on the loan. To mititgate this issue, we have decided to use Machine Learning to overcome this issue
-Understand the dataset & Preprocessing data. -Applying statistical methods and clustering analysis to derive valuable insights. -Handling the imbalanced dataset. -Comparative analysing about efficient of many types of The classifier models to predict whether the loan borrower will default or not. Also fine-tune the hyperparameters & compare the evaluation metrics of vaious classification algorithms.