September 13, 2018 Report Open Access

Data Study Group team

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    "description": "<p>Data Study Groups are week-long events at The Alan Turing Institute&nbsp;bringing together some of the country&rsquo;s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges.</p>\n\n<p><strong>CodeCheck: How do our food choices affect climate change?</strong></p>\n\n<p>Different approaches were proposed to predict the carbon footprint of products from the different datasets provided by CodeCheck.</p>\n\n<p>Multivariate linear regression and random forest regression models perform well in predicting carbon footprint, especially when - in addition to the nutrition information - the product categories, learned through Latent Dirichlet Allocation (LDA), were used as extra features in the models.</p>\n\n<p>The prediction accuracy of the models that were considered varied across datasets. A potential way to display the footprint estimates in the app was proposed.</p>", 
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