prajjwal5428 / predicting-life-expectancy-using-machine-learning

Predicting-Life-Expectancy-using-Machine-Learning

Predicting Life Expectancy Using Machine Learning

Project Summary:

Life expectancy is a statistical measure of the average time a human being is expected to live, Life expectancy depends on various factors: Regional variations, Economic Circumstances, Sex Differences, Mental Illnesses, Physical Illnesses, Education, Year of their birth and other demographic factors. This problem statement provides a way to predict average life expectancy of people living in a country when various factors such as year, GDP, education, alcohol intake of people in the country, expenditure on healthcare system and some specific disease related deaths that happened in the country are given.

Project Requirements:

Basic knowledge ofProgramming Detailed Knowledge of Supervised Machine LearningAlgorithms

Functional Requirements:

Data-set:The data is considered from a period of 2000 to 2015 for all the countries. Important immunisation like Hepatitis B, Polio and Diphtheria will also be considered. In a nutshell, this study will focus on immunisation factors, mortality factors, economic factors, social factors and other health related factors aswell. DataPreprocessing FeatureEngineering ModelSelection

Technical Requirements:

TableauAnalysis RegressionAlgorithms

Software Requirements:

PythonIDE, IBMcloud, IBM Watsonstudio, Node-RED

ProjectTeam:Individual

Reference: https://www.kaggle.com/kumarajarshi/life-expectancy-who