https://github.com/amenalahassa/women_poverty_insight

International Women's Day Challenge on Zindi: https://zindi.africa/competitions/international-womens-day-challenge

https://github.com/amenalahassa/women_poverty_insight

Science Score: 13.0%

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Repository

International Women's Day Challenge on Zindi: https://zindi.africa/competitions/international-womens-day-challenge

Basic Info
  • Host: GitHub
  • Owner: amenalahassa
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 9.11 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme

readme.md

About

International Women's Day Challenge on Zindi

This repo contains the code for the International Women's Day Challenge on Zindi. The challenge is to build a predictive model that accurately estimates the % of households per ward that are female-headed and living below a particular income threshold by using data points that can be collected through other means without an intensive household survey like the census.

I first tried to build a model using the data provided in the challenge. And also do some data analysis to understand the data better.

My main intention was to build a model using Tensorflow Decision Forest. But I also tried to build a model using Yggdrasil Decision Forest and Deep Neural Network.

Technologies Used

  • Python
  • Pandas
  • Numpy
  • Matplotlib
  • Seaborn
  • Scikit-learn
  • Tensorflow DF
  • YDF (Yggdrasil Decision Forest)

Data

The data is provided by Zindi. I can't share the data here. But you can download the data from the Zindi website.

Notebooks

  • analysis.ipynb: Data analysis of the provided data and some visualizations.
  • tfdf_model.ipynb: Model building using Tensorflow Decision Forest.
  • ydf_model.ipynb: Model building using Yggdrasil Decision Forest.
  • dnn_model.ipynb: Model building using Deep Neural Network.

Owner

  • Name: Konrad Tagnon Amen ALAHASSA
  • Login: amenalahassa
  • Kind: user
  • Location: Québec

👋 I'm an enthusiastic explorer in the realms of AI and machine learning, let's connect and explore how we can innovate together! 🚀

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