This project explores global life expectancy trends using the Analyst Builder platform. It showcases interactive dashboards and visual analytics to uncover relationships between life expectancy and factors such as GDP, healthcare spending, and country development status.

This dataset explores life expectancy across 193 countries (2000-2015), focusing on immunization, mortality, economic, social, and health factors. Using WHO and UN data, it employs mixed effects and regression models with 20 predictors, such as GDP, immunization rates, and mortality, offering actionable global health insights.

An AI-powered web-based system for predicting a person’s life expectancy using machine learning techniques.

'R' code files for the package "ORDcrossANOVA" developed for evaluating the test statistic values, critical values and P-values of the tests Psi_1, Psi_2 and Psi_3 for detecting simultaneous trends in a two-way crossed ANOVA, and sample data sets of life expectancy data at various countries

Exploring the relationship between health spending and life expectancy using Seaborn's healthexp dataset. A beginner-friendly data visualization project that reveals key insights through jointplots, log scale transformations, and country-level highlights.

Data cleaning and exploratory data analysis on global life expectancy and the factors that influence it using SQL.

A web-based system that predicts a person's life expectancy using machine learning.

This is an analysis report for life expectancy of humans globally based on dataset taken from Kaggle. Done as part of Foundation in Data Science course group assignment in semester 4 of college.

Classification and Regression Analysis of Life Expectancy Data