vikkieessien / unsupervised_learning_project

Country_data Mini project on Unsupervised_Learning

Title: Health factors that determine the overall development of the country.

Team Members: Ayodeji, Victoria, Behrooz and Shola.

Date: 30.01.2021

Data Source: data-dictionary.csv

The story

Objective: To categorise the countries using socio-economic and health factors that determine the overall development of the country. About organisation: HELP International is an international humanitarian NGO that is committed to fighting poverty and providing the people of backward countries with basic amenities and relief during the time of disasters and natural calamities. Problem Statement: HELP International have been able to raise around $ 10 million. Now the CEO of the NGO needs to decide how to use this money strategically and effectively. So, CEO has to make decision to choose the countries that are in the direst need of aid. Hence, your Job as a Data scientist is to categorise the countries using some socio-economic and health factors that determine the overall development of the country. Then you need to suggest the countries which the CEO needs to focus on the most.

Dataset Columns:

• 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 capital.

• Health = Total health spending per capita. Given as %age of GDP per capital.

• Imports = Imports of goods and services per capita. Given as %age of the GDP per capital.

• 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 new born 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 remain the same.

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