Alternatives and similar repositories for ML-classification-algorithms-poverty

Users that are interested in ML-classification-algorithms-poverty are comparing it to the libraries listed below

• worldbank / Python-for-Data-Science
  ☆49Updated 3 years ago
• drivendataorg / pover-t-tests
  ☆27Updated 2 years ago
• ljwolf / bayespatial
  spatial statistical/econometric modeling in pymc3 & stan
  ☆26Updated 4 years ago
• dssg / MLforPublicPolicy
  Class resources for CAPP 30254 (Machine Learning for Public Policy)
  ☆107Updated 6 years ago
• darribas / gds19
  Geographic Data Science'19
  ☆52Updated 5 years ago
• urbanSpatial / Public-Policy-Analytics-Landing
  All the data for the Public Policy Analytics book by Ken Steif can be downloaded from this repo
  ☆135Updated 3 years ago
• datapartnership / covid-19
  Partnership-curated notebooks to support COVID-19 response
  ☆25Updated 2 years ago
• dime-worldbank / big-data-poverty-estimation
  Develop machine learning models for poverty estimation
  ☆31Updated last year
• RamiKrispin / USelectricity
  Forecast the US demand for electricity
  ☆100Updated 3 years ago
• carsonluuu / Poverty-Prediction-by-Satellite-Imagery
  Poverty Prediction by Combination of Satellite Imagery
  ☆42Updated 4 years ago
• dssg / mlforpublicpolicylab
  Repo for ML for Public Policy Lab course at CMU
  ☆117Updated this week
• dlab-berkeley / Python-Geospatial-Fundamentals-Legacy
  D-Lab's 6 hour introduction to working with geospatial data in Python. Learn how to import, visualize, and analyze geospatial data using …
  ☆61Updated 3 years ago
• cid-harvard / py-ecomplexity
  Python package to compute economic complexity and associated variables
  ☆78Updated last month
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆77Updated 7 months ago
• fcorowe / udd_gds_course
  Geographic Data Science for Public Policy
  ☆19Updated 3 years ago
• pysal / spreg
  Spatial econometric regression in Python
  ☆84Updated last month
• darribas / gds17
  Geographic Data Science'17
  ☆38Updated 5 years ago
• darribas / gds_course
  Geographic Data Science, the course
  ☆94Updated last year
• atrisovic / weather-panel.github.io
  A practical guide to climate econometrics: Navigating key decision points in weather and climate data analysis.
  ☆42Updated 7 months ago
• britishredcrosssociety / covid-19-vulnerability
  COVID-19 Vulnerability Index for neighbourhoods and Local Authorities in the UK
  ☆33Updated 3 years ago
• worldbank / covid-mobile-data
  The COVID19 Mobility Task Force will use data from Mobile Network Operators (MNOs) to support data-poor countries with analytics on mobil…
  ☆25Updated 4 years ago
• SafeGraphInc / awesome-safegraph-datascience
  A community-supported list of awesome data science resources relevant to SafeGraph data
  ☆127Updated 4 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 6 years ago
• yohman / getting-started-with-gis
  ☆35Updated 4 years ago
• chrisvwn / Rnightlights
  R package to extract data from satellite nightlights.
  ☆47Updated 4 years ago
• gabors-data-analysis / da_case_studies
  Codes for case studies for the Bekes-Kezdi Data Analysis textbook
  ☆224Updated last week
• sustainlab-group / africa_poverty
  ☆120Updated last year
• jmathur25 / predicting-poverty-replication
  A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty
  ☆94Updated 2 years ago
• luna983 / beyond-nightlight
  Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs
  ☆19Updated 3 years ago
• Keystone-Strategy / covid19-intervention-data
  ☆26Updated 5 years ago