Machine learning methods to investigate segments of the British consumer food market and to predict weight status: Source code
Greener, R
(2020).
Machine learning methods to investigate segments of the British consumer food market and to predict weight status: Source code.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.3992349
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
Machine Learning; Weight status| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Simulation |
| Date | 19 August 2020 |
| Language(s) of written materials | English |
| Creator(s) | Greener, R |
| 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 |
| Last Modified | 07 Dec 2020 17:10 |
| Publisher | Zenodo |