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Movie Recommender System with Streamlit and Scikit-Learn - Data Science Project

Introduction

This project is a movie recommendation system built using Python. It uses the Kaggle dataset and the Scikit-Learn to make recommendations to users based on the selected film. The project also includes a simple user interface built using the Streamlit framework and a Jupyter Notebook with the data analysis.

Technology Used

  • Python
  • Streamlit
  • Scikit-Learn
  • TMDB API

Dataset Used

Here is the Dataset used - https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata?select=tmdb_5000_movies.csv

Link for this App

In construction....

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