mberrien-fitzsimons/recipe_recommendation_system
A project using machine learning to recommend new menu items based on foods the user already loves.
Combines item-item collaborative filtering with NLP to surface recipe similarities beyond explicit user preferences, leveraging web-scraped ingredient data processed through NumPy and Pandas. The pipeline integrates Selenium and Scrapy for data collection, with modeling and analysis conducted in Jupyter notebooks and Google Colab, alongside a companion web application for user interaction.
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6
Language
Jupyter Notebook
License
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Last pushed
Dec 08, 2022
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