This is a movie recommender system that uses tmdb_5000_movies.csv dataset from Kaggle. The dataset contains 4803 movies with 20 features. The features are:
- budget
- genres
- homepage
- id
- keywords
- original_language
- original_title
- overview
- popularity
- production_companies
- production_countries
- release_date
- revenue
- runtime
- spoken_languages
- status
- tagline
- title
- vote_average
- vote_count
To run install streamlit and pandas and run the following command:
- Run movie_recommendation.ipynb in Jupyter Notebook
"streamlit run app.py"
It is best to install conda and create a virtual environment to run the app.