Greener, R. 2020. Machine learning methods to investigate segments of the British consumer food market and to predict weight status: Source code. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.3992349
Greener, R. Machine learning methods to investigate segments of the British consumer food market and to predict weight status: Source code [Internet]. Zenodo; 2020. Available from: https://doi.org/10.5281/zenodo.3992349
Greener, R (2020). Machine learning methods to investigate segments of the British consumer food market and to predict weight status: Source code. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3992349
Description
This is the source code (tar.xz) bundle for the MSc thesis submitted at the London School of Hygiene and Tropical Medicine: Machine learning methods to investigate segments of the British consumer food market and to predict weight status
Keywords
Data capture method | Simulation |
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Date (Date published in a 3rd party system) | 19 August 2020 |
Language(s) of written materials | English |
Data Creators | Greener, R |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Medical Statistics |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 07 Dec 2020 17:10 |
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Last Modified | 07 Dec 2020 17:10 |
Publisher | Zenodo |