Submission for Loan Eligibility Prediction

[donna2864]

Description

I have come up with a predictive model for the Loan Eligibility Estimator, addressing the improvisation in the previous implementation. The model incorporates additional attributes that significantly impact loan approval, improving the accuracy and functionality of the estimator

Issue Resolved

This PR resolves #5 by providing a fully developed model for the Loan Eligibility Estimator

Changes Made

• Implemented a machine learning model using [Model Type: Decision Trees, Random Forest and KNN(outperformed model) ]
• Incorporated additional attributes that influence loan eligibility, such as
  [ no_of_dependents, education, self_employed, income_annum, loan_amount, loan_term, cibil_score, residential_assets_value, commercial_assets_value, luxury_assets_value, bank_asset_value ]
• Trained and tested the model using available data to ensure accuracy (90.66) and performance improvements.
• Didnt implement model details functional as it was optional.

Checklist

• My code follows the current project structure
• I have thoroughly reviewed and updated the requirements.txt file to include any new packages
• The predict.py file includes a properly implemented model_details() function, or the notebook contains this function to print a detailed model report. The model will not be accepted without this function, as it is essential for generating the necessary model details.
• I have added relevant tests (if necessary).
• I have added comments in the code where needed.
• This PR is submitted under Hacktoberfest.
• This PR is submitted under GirlScript Summer of Code (GSSoC-Extd).

[yashasvini121]

Model details method not present.

[donna2864]

should i create a new python file for this method, or should it be there in my notebook

[yashasvini121]

Create a proper model_details fxn in the jupyter notebook only.