Machine Learning Projects - Movie Recommender System Project | Content Based Recommender System with Heroku Deployment

This video walks you through the project step by step, including Heroku deployment. Learn how to build a personalized movie recommendation system based on user preferences. If you have any questions or doubts about this project, feel free to discuss it or look for a solution by joining our discord server. [Link Below] Working demo: https://mrs-campusx.herokuapp.com/ Full Code: https://github.com/campusx-official/movie-recommender-system-tmdb-dataset Dataset Link: https://www.kaggle.com/tmdb/tmdb-movie-metadata?select=tmdb_5000_movies.csv ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Introduction 05:15 - Types of Recommender systems 10:50 - Project Flow 12:20 - Dataset & Jupyter notebook setup 15:15 - Data Preprocessing 55:00 - Vectorization 01:23:30 - Main function 01:33:28 - Frontend/Streamlit 02:07:45 - Deployment