Recommendation Engine using Netflix Dataset
Tools Used : Python, Scikit-learn ,Matplotlib
• Developed a Recommendation Engine utilizing Netflix's collaborative filtering algorithm to analyze user behavior and preferences, generating personalized recommendations for movies or shows. • Implemented in Python, leveraging libraries such as Pandas and Scikit-learn for data preprocessing and model building. • Achieved efficient processing and accurate predictions by employing matrix factorization techniques and optimizing algorithms for scalability.