Project for CS F415 Data Mining
Suppose a Finance Company offers home loans. The loan approval process typically spans 1 week to 1 month due to extensive customer research. To streamline this, we'll employ Data Mining techniques to automate and expedite loan approvals.
The loan application data set includes various columns that provide information on the applicant and the loan, such as Loan ID, Gender, Marital Status,Dependents, Education, Self-Employment status, Applicant Income, Co-Applicant Income, Loan Amount, Loan Amount Term, Credit History, and Property Area.
- Implement classification algorithms like KNN, Logistic Regression, Decision Tree, and Random Forest on real-world data.
- Learn which data pre-processing techniques are useful on the given dataset.
- Develop the ability to evaluate the performance of different models using metrics such as accuracy and precision.