Trying different regression models on Life Expectancy dataset.
Data and code for an AI model that predicts remaining lifespan (how many years of life a person has left) solely from a facial image
This project aims to predict life expectancy based on various socio-economic, health, and environmental factors. A Random Regression Model is used for prediction, leveraging machine learning techniques to analyze historical data and generate insights.
Proyecto de machine learning para la predicción de la esperanza de vida por pais.
Life Expectancy Prediction using Random Forest Regression Model for improving patient's health by giving them health photos
This repository is a documentation of data science competition that is modelling about Life Expectancy Prediction and analysis in Human Development.
An examination of the immunization related, mortality, economical, and social factors impacting life expectancy.
This project presents a comparative analysis of life expectancy between developed and developing countries with the help of a Supervised Machine Learning model.
This regression model involves predicting the average life expectancy of a country's population using the dataset given.
An analysis of the effects of Sustainable Development Goals (SDGs) on life expectancy around the world.
Using linear regression to predict life expectancy with C++ implementation of least squares method
Predicting Life Expectancy using Machine Learning
Data science visualization project using python and many python libraries (Pandas, MatPlotLib, Seaborn, and more)
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.
Life Expectancy Prediction
School project for a regression analysis class. Explored regression strategies to predict life expectancy using WHO data.
Interactive Streamlit application for analyzing global development metrics, including poverty, life expectancy, and GDP trends across countries and years. Powered by merged datasets from Our World in Data.
Systematic feature selection and predictive modelling on WHO global health data — identifying which combination of variables best predicts life expectancy across 183 countries, using three independent selection methods and four model types.
The 'life_expectancy' dataset from kaggle was used to construct various aggregate statistics, visualisations and linear regression models to see how life expectancy changed based on different features.
An AI-powered web-based system for predicting a person’s life expectancy using machine learning techniques.
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