Build a Movie Recommendation System in Python

In this project, you'll assume the role of a data scientist at a movie streaming company, tasked with developing a system that enables users to search for movies and get personalized recommendations to enhance user engagement. Leveraging your Python skills and libraries like pandas and scikit-learn, you'll work with movie data, build a search engine using TF-IDF and cosine similarity, and create a recommendation algorithm based on user ratings. The project will culminate in an interactive Jupyter widget showcasing the system's capabilities, allowing users to input a movie and receive instant recommendations. This hands-on project provides an opportunity to apply your data science skills to a real-world problem. You'll gain practical experience in data manipulation, natural language processing, machine learning, and interactive widget development. The final product will be a valuable addition to your portfolio, demonstrating your ability to create intelligent systems that deliver user value. Objective: Apply data science techniques using Python to build a movie search and recommendation system that enhances user experience and engagement on a streaming platform.