Movie-Recommendation-System

• Step 1: you have to clone your repositoory

• Step 2: you have run by command

Command: streamlit run app.py

(Heroku Deployed)(https://mrs-aakash.herokuapp.com/)

First of all start collecting Data from Kaggle Website

(Movies)[https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata?select=tmdb_5000_movies.csv] (Credits)[https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata?select=tmdb_5000_credits.csv]

Overall We have have to End to End Data Scienc Projects Lifecycle:

• Data Cleaning
• EDA
• Data Visualization
• Tranining Data
• Model Evaluation
• Deployement