📚 Udemy Course Recommendation System

A simple and lightweight machine learning project that recommends Udemy courses based on your selection using content-based filtering. Built with an interactive UI using Streamlit.

📖 About This Project

I created this project while learning about machine learning. It's a simple course recommendation system that suggests Udemy courses based on the course title you choose. The goal was to apply what I learned in a small but useful project with a working user interface.

✅ Features

• Recommends similar Udemy course titles based on your selection.
• Uses content-based filtering (based on course title and subject).
• Fast and lightweight — no complex model training required.
• Built with a clean and simple Streamlit interface.

🔍 How It Works

1. The user selects a course title from a dropdown list.
2. The system uses the course title and subject to represent each course.
3. Text data is transformed into vectors using CountVectorizer (bag-of-words model).
4. The system calculates cosine similarity between the selected course and all others.
5. It displays the top 5 most similar course titles as recommendations.