Link: https://colab.research.google.com/drive/1BfwH9TQZfYnAZLA5z-nh2CZ2Ld3liBC-?usp=sharing
In this short project, I apply count vectorizer and cosine similarity on content-based features to find the similarity between the movie that the user like and our general movies data to recommend to the user.
Resources:
Cosine Similarity documenation
This project requires to imported and installed libraries: pandas, and scikit-learn.