📊 Insurance Claim Prediction – Data Science Project

Build a smart system that predicts whether a customer is likely to claim insurance using historical data and machine learning models. Perfect for those exploring data science in the insurance domain.

🚀 Key Highlights:
✅ Logistic Regression, Random Forest, and XGBoost models
✅ Data preprocessing, encoding & feature selection
✅ Imbalanced data handling techniques
✅ Performance evaluation using accuracy, precision, recall, F1-score
✅ Clean Python code with visualization

🔗 Project Link:
Insurance Claim Prediction

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🏢 Apartment Management System – PHP Project

A comprehensive web application crafted to streamline apartment operations—from tenant registration to maintenance tracking—designed for clarity, control, and efficiency.

Key Features
• Tenant and landlord management dashboard
• Maintenance request logging and status updates
• Bill generation and payment tracking
• Admin panel with user role control
• Built with PHP, MySQL, HTML/CSS — with clean architecture and UI

🔗 Explore the project:
Apartment Management System – View Now

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🎓 Online Course Registration System – PHP Project
Transform traditional course enrollment into a seamless digital experience with this PHP-based system crafted for academic institutions and student portfolios.

Key Features
• Separate admin and student panels
• Admin controls departments, sessions, semesters, and courses
• Students can register, enroll, print enrollment confirmations
• Secure login, profile management, and activity logs
• Built with PHP, MySQL, HTML/CSS, JavaScript

🔗 Explore the full project here:
Online Course Registration System – Learn More
UpdateGadh

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🤝 Job Recommendation System – Python Project

Empower users with intelligent job suggestions based on their skills and preferences using machine learning. An ideal project for anyone diving into recommendation algorithms and HR tech.

Key Features
• Personalized job matching using content-based filtering
• User input-driven suggestions (skills, experience, job type)
• Built with Python, Pandas, and Scikit-learn
• Clean, easy-to-follow code suitable for portfolios

🔗 Explore the full project here:
Job Recommendation System – View Project

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