Loan Status Prediction

Supervised

Client

Mindrisers Institute of Technology

Timeline

3 weeks

Services

Machine learning

Website

Client

This project aims to build a robust model that accurately predicts whether a news article is fake or real.

This project aims to build a robust model that accurately predicts whether a news article is fake or real.

This project aims to build a robust model that accurately predicts whether a news article is fake or real.

Challenge

I was dealing with data leaks where I used smote before the training testing split. I was stucked for 5 days because I was getting 100 percent accuracy which is not possible. Then after some research I found the bug and solved it.

Goal

To make an application to predict user loan status based on that with high accuracy , f1 , precision etc.

Result

This application predicts the approval status of a bank loan based on the provided inputs. It uses a pre-trained machine learning model to make the predictions. Fill out the form on the main page to check your loan status.

"He who has a why to live can bear almost any how."

-Friedrich Nietzsche 

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"He who has a why to live can bear almost any how."

-Friedrich Nietzsche 

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"He who has a why to live can bear almost any how."

-Friedrich Nietzsche 

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Available

Available