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Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
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movie-recommender reviews and mentions
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4 tips for creating an impressive data science portfolio on GitHub
For example, for my research project on psych-verbs I wrote a paper-like README targeted at academics/fellow linguists, whereas for my movie recommender system I wrote an informal short description and included a screencast, aimed at a general audience.
Stats
lorenanda/movie-recommender is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of movie-recommender is Python.
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