Inspiration

What it does

How we built

Firstly downloaded Data and then using libraries in Python, converted it into vectors and applied cosine similarities to group similar movies and then recommend movies based on that scores

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Movie-recommendation System

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