worldbank/ML-classification-algorithms-poverty
A comparative assessment of machine learning classification algorithms applied to poverty prediction
Jupyter Notebook
Stargazers
- 1965aafcChile
- adnanpwIndonesia
- anupamanand
- asatzgerZurich, Switzerland
- aufelichao
- billjuno
- claudiacalderonWorld Bank
- darenascKaiserslautern
- dt2323
- feliuserraHEMAV
- HenryElJ
- hyper-potatoMN
- jldeldaMottum Analytica
- joepeskettCardiff
- kitmacleodScotland
- kohaugustineSingapore
- lin-nlh
- masterylearning
- mmngreco@seedtag
- nicholasviauBoston, MA
- NKeleherInnovations for Poverty Action
- NoahChristiansenPhiladelphia, PA
- odwbWorld Bank
- oserttas-math
- pjbullDrivenData
- pka32@amzn
- sabalaga
- SAr2r@QuantPi
- SDrivenBeijing
- sgandavarapuThe Home Depot
- shashikhaya
- spkjessAXA
- squiroga8United States
- Suraj1127@NASA-IMPACT
- venkateshhariIndividual Researcher
- wvigiloliver