Movie Recommendation System

✍  Project at a glance:

1. The Recommendation System is made on the concept of Content Based Filtering.
2. The end user enters name of the name of the movie and top 5 similar movies are recommended back to the user.
3. The system recommends top 5 movies based on processed cosine similarity of various features.
4. The system was successfully deployed on web through Flask. Note: The dataset is used from Code Heroku.

📂  RELEVANT TECHNOLOGY STACK

• ML
• Python 3
• Feature Engineering
• Text Processing
• Flask
• HTML

💻  GETTING STARTED

=> Fork this repository to start contributing.

=> Open your Git Bash command window and in the root directory type the following commands :

    1) git init -initializes the git repository from the GitHub. 
    2) git clone -Clone the repository to your local machine
      (git clone https://github.com/<your-github-username>rohitgit1/Movie_Recommendation_System.git)