Loan-Approvals-Prediction

Problem Statement: Create a Machine Learning Model for Loan Approval.

How to Run: cd to Directory, then :Python project_final_gui.py

About Dataset

● The loan approval dataset is a collection of financial records and associated information used to determine the eligibility of individuals or organizations for obtaining loans from a lending institution.

● It includes various factors such as cibil score, income, employment status, loan term, loan amount, assets value, and loan status.

● This dataset is commonly used in machine learning and data analysis to develop models and algorithms that predict the likelihood of loan approval based on the given features.

Apart from the Main Notebook and Presentation, there are some other files which include:

1. Original Data File
2. Notebook to demonstrate prediction of a test input
3. Model and Scaler file
4. GUI Application Python File
5. Some Screenshots of the GUI Application.

Done By:

1. Piyush Sunil Borse 25PGAI0026
2. Prateek Majumder 25PGAI0027
3. Bhawana Thawarani 25PGAI0137
4. Prajwal Wagh 25PGAI0109
5. Yuvraj Singh Srinet 25PGAI0019