in this project i used PCA and K_means models .

about dataset :

country: Name of the country

child_mort: Death of children under 5 years of age per 1000 live births

exports: Exports of goods and services per capita. Given as %age of the GDP per capita

health: Total health spending per capita. Given as %age of GDP per capita

imports: Imports of goods and services per capita. Given as %age of the GDP per capita

income: Net income per person

inflation: The measurement of the annual growth rate of the Total GDP

life_expec: The average number of years a newborn child would live if the current mortality patterns are to remain the same

total_fer: The number of children that would be born to each woman if the current age-fertility rates stay the same

gdpp: The GDP per capita. Calculated as the Total GDP divided by the total population

Target: We want to set Clusters, clustering the Countries by using Unsupervised Learning for HELP International Objective to categorize the countries using socio-economic and health factors that determine the overall development of the country.