Movie Recommendation System 🎬 is a Streamlit-based web app, a robust machine learning project utilizing the Kaggle movie dataset. Employing Python libraries for classification, k-means clustering, and stemming, it conducts in-depth analysis of structured and unstructured data. The result is a user-friendly tool providing personalized movie recommendations, highlighting the project's prowess in data processing and analysis
