Overview project : Designed and implemented a Movie Recommendation System using Python, emphasizing proficiency in data analysis, cleaning, extraction, and preprocessing.

Employed advanced model building techniques, specifically utilizing cosine_similarity to enhance the accuracy of movie recommendations.

Hosted the recommendation system locally, showcasing practical skills in deployment and user interaction through Streamlit.

Gained hands-on experience in data science, demonstrating a strong understanding of machine learning concepts and methodologies.

The project highlights a practical application of data science skills, contributing to a comprehensive portfolio of data analysis and model-building capabilities.