Bank Loan Approval Prediction

Inspiration

Giving a bank loan is a heavy task as it requires various calculations such as previous records, amount of loan to be sanctioned, documentry and verification, which is heptic to any bank employee. The bank employee may sometimes become biased and sanction a risky loan. So, to reduce this upto certain extent, this project is built.

What it does

It takes various input functions such as ID, Age, Experience, Income, Personal Loan, Securities Account, etc and decides whether to sanction a loan or not using the trained model with given dataset.

How I built it

This project uses a Deep Learning model based on Artificial Neural Network which has 10 layers of dense and drop out combined which are able to decide the output as provided input from previous nodes.

Accomplishments that I am proud of

With the best epoch count, the accuracy is 98.20%

What I learned

Now, I am able to use Deep Learning models to predict more precisely and with better accuracy.

What's next for Bank Loan Approval Prediction

We can increase the dataset and the neural network layers for more precision and also add more features.

Built With

• machine-learning
• python