Inspiration
Working on projects related to data science interests me. I have worked on multiple projects, mainly based on natural language processing.
What it does
Movies are recommended based on the movie entered by the user. The movie is compared to all the others on the dataset and the parameters of comparison are, genres and ratings.
What we learned
I learned how TfidVectorizer works and implemented it in this project.
What's next for Movie Recommendation System
I plan on refining this model as I go deeper into more concepts, try to get a more tailored recommendation considering a lot of more parameters.
This has been such a learning opportunity!
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