Movie-Recommendation-System-using-ML

Link to the dataset: https://drive.google.com/file/d/1cCkwiVv4mgfl20ntgY3n4yApcWqqZQe6/view

Link to the ipynb file: https://colab.research.google.com/drive/1j0J0hebxIp-xp_peksvshNu95n4Y6Iyw?usp=sharing

1) Objective: The aim of the project is to recommend movies to the user based on the similarity scores.

2) Libraries used:

      a) Numpy
      
      b) Pandas
      
      c) Difflib
      
      d) TfidVectorizer
      
      e) Cosine_similarity

3) Work Flow:

      a) Data Collection

      b) Data Preprocessing

      c) Feature extraction

      d) User Input

      e) Cosine Similarity

      f) List of movies

4) Output: 30 movies based on higher similarity scores are displayed to the user.