College Project to build Human Development Index clustering in Jawa Island by using ST-DBSCAN and K-Means

The Human Development Index (HDI) is a statistical measure that takes into account, life expectancy, education, and per capita income in order to classify countries into different development tiers. This report studies relationships and trends between countries of different HDI ranking.

Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.

My objective is to identify the impact of GDP growth on four metrics of human well-being: Income, Human Development Index (HDI) and Life Expectancy. In this investigation, I used four data sets from the Gapminder to identify trends of the change in GDP over time as well as other indicators according to different countries and regions of the world.

Membandingkan 2 strategi algoritma : Brute Force (implementasi SelectionSort) dan Divide and Conquer (MergeSort)

🤖 A ML model to find which factors influence the development of the country the most

Trade Openness and Human Development - A Panel Analysis of the Human Development Index and its Components

Visualisasi data HDI (Human Development Index) berbagai negara secara interaktif dengan library Bokeh dan deploy ke Heroku

A final project for CS42 (Fall 2022) class at Harvey Mudd College