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    Recipe Classifier
    Andrew Yew

    Andrew Yew

    “With 5 years of experience in data analysis and engineering, Andrew has consolidated requirements across manufacturing, logistics, and sales teams to build a data warehouse with ETL pipelines on AWS cloud for a global electronics company valued at $500 million USD. The data warehouse was designed for data modelling such as regression and forecasting; thus, it was built with a data dictionary and ETL dashboard to monitor data integrity.”

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    Recipe Classifier

    Brief Description

    A classifier that identifies if a food recipe posted on allrecipes.com is ‘worth it’ using Natural Language Processing and ensemble methods trained on 40,000 web-scraped recipes.

    Streamlit web-app: link

    GitHub repository: link

    Tags: Classification, Logistic Regression, Natural Language Processing, Web Scraping, XGBoost

    Updated: October 27, 2025

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