Скачать или смотреть Build a Recommendation System in Python (3 Types) – From Theory to Code | AI Tutorial

🚀 *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-e...)
📚 Blog
  / building-a-basic-recommendation-system-in-...  


*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](   / yourchannel  )