Build Music Recommendation System Using Machine Learning || Machine Learning Project || Python || AI

🔹 Title:
Build Music Recommendation System Using Machine Learning || Machine Learning Project || Python || AI

🔹 Description:

🎵🤖 In this video, you’ll learn how to build a Music Recommendation System using Machine Learning and Python!
We will create an AI-powered model that recommends songs based on user preferences, similarity scores, and audio features. This project is perfect for anyone interested in AI, ML models, recommendation systems, and Python projects.

Data Set Link : https://drive.google.com/file/d/1WIY2Uz0YcRUCMZ7X2nOJADSyLuuKGA0-/view?usp=sharing

You will learn:
✅ How to preprocess and analyze music datasets
✅ How to extract features like genre, tempo, mood, and artist similarity
✅ How to use Cosine Similarity / KNN / Clustering techniques
✅ Building a recommendation engine from scratch
✅ Creating a simple Python interface for generating song suggestions

By the end of this project, you’ll understand how platforms like Spotify, Gaana, and Apple Music use ML to recommend music!

🔹 Tech Stack Used:
🔸 Python
🔸 Pandas, NumPy
🔸 Scikit-learn
🔸 Feature Engineering
🔸 Recommendation System Algorithms

📚 Topics Covered:

Data Cleaning & Preprocessing

Feature Selection & Encoding

Similarity-Based Recommendation

Model Building & Evaluation

Generating Personalized Song Recommendations

💡 Ideal For:
Python beginners | ML students | AI & Data Science learners | Project-focused developers

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📌 #MusicRecommendation #MachineLearningProject #PythonProjects #AI #DataScience #RecommendationSystem

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