https://github.com/tynoee/loan-approval-prediction
This project is a web application for predicting loan approval status based on various financial and personal attributes. It uses a machine learning model that I trained on historical loan data to make predictions. I built the web application using Flask for the web framework, SQLite for the database, and the pre-trained model saved with joblib.
https://github.com/tynoee/loan-approval-prediction
classifiers css data-transformation flask-application google-colab html jupyter-notebook logistic-regression machine-learning model-training sqlite3
Last synced: 4 months ago
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This project is a web application for predicting loan approval status based on various financial and personal attributes. It uses a machine learning model that I trained on historical loan data to make predictions. I built the web application using Flask for the web framework, SQLite for the database, and the pre-trained model saved with joblib.
- Host: GitHub
- URL: https://github.com/tynoee/loan-approval-prediction
- Owner: Tynoee
- License: mit
- Created: 2024-06-06T05:37:58.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-09T02:48:21.000Z (5 months ago)
- Last Synced: 2025-05-09T03:37:48.150Z (5 months ago)
- Topics: classifiers, css, data-transformation, flask-application, google-colab, html, jupyter-notebook, logistic-regression, machine-learning, model-training, sqlite3
- Language: Jupyter Notebook
- Homepage:
- Size: 651 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Loan-Approval-Prediction
This project is a web application for predicting loan approval status based on various financial and personal attributes. It uses a machine learning model that I trained on historical loan data to make predictions. I built the web application using Flask for the web framework, SQLite for the database, and the pre-trained model saved with joblib.
The following machine learning models were explored and evaluated for the prediction task:
- Logistic Regression
- Decision Tree
- Random Forest
- Gradient Boosting
- Support Vector Machine
# Features
- Predicts loan approval status based on user input.
- Utilizes a machine learning model trained on historical loan data.
- Provides a user-friendly interface for inputting loan application details.
- Stores client information and prediction results in a SQLite database.
## More Information
Please go through [Loan_Prediction](LoanPrediction.pptx) for more information.