The main goal of this project is to create a tool that allows users to input various parameters, such as gender, marital status, dependents, educational level, loan amount, etc. and predict whether they will be approved for a home loan. Technologies we use are Machine Learning (ML), HTML/CSS, Python Flask_powered API.
You can simply browse to the following webpage
https://homeloanpredictor.azurewebsites.net
https://www.kaggle.com/datasets/rishikeshkonapure/home-loan-approval?select=loan_sanction_train.csv. (The dataset contains relevant features that will be essential for training our machine learning mode)
Deep Learning model
Logistic Regression model
Random Forest Model
Ultimately, we have decided to use the Logistic Regression Model, which had an accuracy score of 79.7%.
The presentation for this assignment can be found using the following link
https://1drv.ms/p/s!AsmcKhEqCm-sg3Hxz-MJCbIDYWvE?e=nQGGVN
Fedorenko Olena
Chen, Xing Ying
Saliaj, Evis
Nys, Brecht