Inspiration

Save banks time in determining their potential clients.

What it does

Predict whom is the likely to accept a loan based on their lifestyle.

How we built it

Backend code: Python and Jupiter notebook Frontend: HTML and CSS

Challenges we ran into

Overfitting from over dividing the leaves, missing data

Accomplishments that we're proud of

Get a beautiful tree!

What we learned

Machine learning model and front end development

What's next for Loan_Acceptance_Prediction

Be able to connect the front and backend more efficiently and include more variables.

Built With

Share this project:

Updates