College Project to build Human Development Index clustering in Jawa Island by using ST-DBSCAN and K-Means
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Updated
Feb 9, 2018 - JavaScript
College Project to build Human Development Index clustering in Jawa Island by using ST-DBSCAN and K-Means
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.
Interactive Shiny dashboard for exploring Atlas Brasil human development indicators across Brazilian metropolitan regions
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.
A Machine Learning web application to predict Human Development Index (HDI) scores using Linear Regression, Flask, and Python - Built with Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn
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.
Human Development Index analysis + pillar-contribution regression (R^2 ~0.98).
馃 A ML model to find which factors influence the development of the country the most
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
Integration of ANU Quantum API and SSL for secure random quantum-based analysis Human Development Index from CSV dataset
Trade Openness and Human Development - A Panel Analysis of the Human Development Index and its Components
Previs茫o do IDHM (脥ndice de Desenvolvimento Humano Municipal) com Random Forest em R | TCC UFMS 路 Ci锚ncias Econ么micas 路 2023
Membandingkan 2 strategi algoritma : Brute Force (implementasi SelectionSort) dan Divide and Conquer (MergeSort)
A Machine Learning and Flask-based web application for predicting the Human Development Index (HDI) using socio-economic indicators.
HarvardX Data Science Capstone applying Random Forest regression in R to predict Brazil's Municipal Human Development Index using socioeconomic indicators.
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