Lecture-13: Recommendation Model | Python | Data Analytics | Data Science | ML | DL |

Welcome to this insightful session on Recommendation Models, a core application of Machine Learning and Deep Learning in the world of Data Science and Data Analytics! In this video, you'll learn: ✅ What are Recommendation Systems? ✅ Types: Content-Based, Collaborative Filtering & Hybrid Approaches ✅ Real-world Applications: Netflix, Amazon, Spotify & more ✅ Step-by-Step Implementation using Python ✅ Libraries like Pandas, Scikit-learn, Surprise, TensorFlow/Keras ✅ Evaluating Model Performance (RMSE, Precision@K, etc.) Whether you're a student, data science enthusiast, or professional—this session will help you understand how intelligent recommendations work and how to build them from scratch using Python. 📌 Ideal for learners in: Data Science Data Analytics AI/ML/DL Python Programming Recommender System Development