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README.md

README.md

 
 

app.py

app.py

 
 

ba4c2764-12ed-47a9-9610-ce38b1ea9b89 2.mov

ba4c2764-12ed-47a9-9610-ce38b1ea9b89 2.mov

 
 

notebook86c26b4f17.ipynb

notebook86c26b4f17.ipynb

 
 

requirements.txt

requirements.txt

 
 

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screenbud-55b6d256-1366-4b11-972e-4fad324a9a09.png

 
 

screenbud-a62afe5b-2d27-47c2-8fb4-50b1f33975ce.png

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tmdb_5000_movies.csv

tmdb_5000_movies.csv

 
 

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Movie-Recommender-System-Content-based

  1. Language used: Python
  2. Software Requirement: Jupyter Notebook and PyCharm
  3. Framework used: Streamlit
  4. Performed by: Warepam Richard Singh
  5. Hosted with: Heroku

Outputs:

alt text alt text alt text

About

This is a movie recommender system performed with a data from kaggle about tmdb. It is purely content based.

Topics

machine-learning jupyter-notebook python3 recommendation-system recommendation-engine content-based-recommendation movie-recommendation-system

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