Inspiration
In the pandemic, people are struggling financially. In addition to it, short working hours of banks make loan process difficult. To address this problem and overcome it, we came up with the idea of loan prediction
What it does
This project Loan Prediction takes all the data (asked in the loan form) analyses it and outputs their chances of getting a loan.
How we built it
First, we start with taking a train dataset. Then gathered all the requirements and constraints. We started with addressing the constraints and then following the requirements of the project. Tested the working using test dataset. Then measured the error and worked on increasing the accuracy.
Challenges we ran into
The biggest challenge we faced is addressing the problem of accuracy.
Accomplishments that we're proud of
We being beginners successfully built a project. This itself is a big accomplishment that we are proud of.
What we learned
We learned some new functions to handle Machine learning and datasets.
What's next for it
There is a further chance to increase accuracy of the project. In addition to it we can include a function to estimate the value of collateral.
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