The movie recommendation system uses a content-based approach to suggest movies similar to the one you select. It calculates the cosine similarity between movies based on their features, such as genre, keywords, and more.
The following Python libraries were used to build this project:
Streamlit Pandas Pickle (for saving and loading precomputed data) Other standard libraries
For better understanding see code. You can find line to line explanation. Give me star If you like the explanation.
This project is licensed under the MIT License - see the LICENSE file for details.