This video will guide you step by step through the project, including the implementation of Heroku. 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 find 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?selecttmdb_5000_movies.csv

Do you want to learn from me?
Check out 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
Email us at [email protected]

Timestamps

00:00 – Introduction
05:15 – Types of recommendation systems
10:50 – Project flow
12:20 – Installation of dataset and Jupyter notebook
15:15 – Data preprocessing
55:00 – Vectorization
01:23:30 – Main function
01:33:28 – Frontend/Streamlit
02:07:45 – Implementation

Please take the opportunity to connect and share this video with your friends and family if you find it helpful.