HELP International has been able to raise around $ 10 million. The CEO of this NGO wants to donate this money to a country that needs this money. We are given data from 167 countries and based on this data, we have to decide which country is in immediate need of money.

Current problem is a clustering problem. Several clustering algorithms were imployed on PCA data and the original data and their outputs were compared. It was evident that PCA doesn't bring any notable changes to the clustering problem.

→ Report.pdf contains detailed explaination of this project along with various visualisation.

→ minor_project.ipynb contains the implementation of the above discussed clustering.