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.
Predicting Life Expectancy using Machine Learning
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.
An analysis of the effects of Sustainable Development Goals (SDGs) on life expectancy around the world.
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.
Predicting Life Expectancy using Machine Learning
WHO LIFE EXPECTANCY: Studying the factors that affect/contribute to life expectancy and analyzing the changes over the last 15years, that is between 2000-2015.
Using linear regression to predict life expectancy with C++ implementation of least squares method
Data science visualization project using python and many python libraries (Pandas, MatPlotLib, Seaborn, and more)
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.
This is for all data analysis done with Power BI
Evaluación de cómo factores socioeconómicos y de salud pública impactan la esperanza de vida en distintos países, utilizando análisis de datos y modelado predictivo para identificar estrategias de salud pública
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