GitHub repository: sadhana1002/Kiva_DataScienceForGood
Primary language: Jupyter Notebook
Created: 2018-04-06T17:01:16Z
Description: Apply K-Means (Unsupervised Machine Learning) on the Kiva (Microfunding organization) dataset and identify natural groups formed by borrowers and loans. Identify top N features that primarily distinguish different clusters. Explore and visualize the dataset around the world with GeoJSON data. Deep exploration of high impacted countries , use poverty index and similar development factors to compare countries