🚀 **Build a Recommendation System in Python** – Learn how to create 3 types of recommenders (Simple, Content-Based, Collaborative Filtering) from scratch! Perfect for AI beginners and interview prep.
🔗 Code & Dataset**: [GitHub Link](https://github.com/vishnoiprem/data-etl-ml)
📚 Blog
https://medium.com/nextgenllm/building-a-basic-recommendation-system-in-python-from-theory-to-code-922156c801fd
### **What You’ll Learn:**
✅ **Simple Recommender** (IMDb-style weighted ratings)
✅ **Content-Based Filtering** (TF-IDF + Cosine Similarity)
✅ **Collaborative Filtering** (Matrix Factorization with PyTorch)
✅ **Interview Q&A** (Cold start, Hybrid models, SVD)
### **Timestamps:**
00:00 – Why Recommendation Systems?
02:15 – Simple Popularity-Based Recommender
03:30 – Content-Based Filtering (Movie Similarity)
04:45 – Collaborative Filtering (User-Item Matrix)
05:20 – Deploying with Flask/FastAPI
06:00 – Interview Questions
🐍 Python | 📊 Pandas | 🔍 Scikit-Learn | 🧠 PyTorch
💡 **Subscribe for more AI/ML tutorials**: [@cloudvala](https://youtube.com/yourchannel)
