Project 2: High-risk-appicant-identifier
- It is Machine Learning Classification Problem
- After Taking various inputs from the user data preprocessing is done like(Handling missing values,handling categorical values,handling outliers,handling distribution,bringing data into a same scale)
- Various Ml algorithms were considered during this experimentation and by using the optuna library
- Performance metrics - Recall was used as False Negative were the main concern in this usecase