A comparative study of various statistical and machine learning models for predicting restaurant demand in Bangladesh
Saved in:
| Main Authors: | Md Shakhawath Hossain, Farjana Parvin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12136425/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh
by: Mosaraf Hosan Nishat, et al.
Published: (2025-03-01) -
Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh.
by: Arman Hossain Chowdhury, et al.
Published: (2025-01-01) -
Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh
by: Arman Hossain Chowdhury, et al.
Published: (2025-01-01) -
Predicting urban landslides in the hilly regions of Bangladesh leveraging a hybrid machine learning model and CMIP6 climate projections
by: Md․ Ashraful Islam, et al.
Published: (2025-05-01) -
Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus
by: Marco Tjakra, et al.
Published: (2025-08-01)