https://github.com/asghar-rizvi/django-ml-apps
Using Django framework for backend and simple html css jquery, to build a simple yet efficient website to showcase my machine learning model. A ML model based on XGBOOST that can predict if you are applicable for loan or not, trained using a public dataset available on kaggle
https://github.com/asghar-rizvi/django-ml-apps
analysis django-application django-project django-rest-framework django-webapp machine-learning machine-learning-models prediction-model
Last synced: 3 months ago
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Using Django framework for backend and simple html css jquery, to build a simple yet efficient website to showcase my machine learning model. A ML model based on XGBOOST that can predict if you are applicable for loan or not, trained using a public dataset available on kaggle
- Host: GitHub
- URL: https://github.com/asghar-rizvi/django-ml-apps
- Owner: asghar-rizvi
- Created: 2025-02-15T16:50:28.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-02-17T13:43:20.000Z (3 months ago)
- Last Synced: 2025-02-17T14:36:22.889Z (3 months ago)
- Topics: analysis, django-application, django-project, django-rest-framework, django-webapp, machine-learning, machine-learning-models, prediction-model
- Language: Jupyter Notebook
- Homepage:
- Size: 1.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🚀 Django + Machine Learning Projects
This repository contains my projects that integrate **Django** with **Machine Learning / Deep Learning**. Each project includes **a trained model** deployed in a Django web application.
## 📌 Projects Included
| Project Name | ML Model Used | Features |
|-------------|-------------|---------|
| **Resume Screening System** | Random Forest Classifier | Classifies resumes into job categories |
| **Credit Score & Loan Approval** | XGBoost ML | Predicts credit scores & automates loan approvals |
## 🔧 Tech Stack
- **Frontend:** HTML, CSS, JavaScript
- **Backend:** Django, Django REST Framework
- **Machine Learning:** TensorFlow, Keras, Scikit-Learn
- **Database:** SQLite / PostgreSQL