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Predicting Life Expectancy using Linear Regression

1 January 1970
Blog
Publisher : American Chemical Society (ACS) Publications

18579

This blog post delves into the application of linear regression, a fundamental machine learning algorithm, to predict life expectancy. It discusses the various socio-economic, health, and environmental factors that can influence life expectancy and how these factors can be incorporated into a linear regression model. The article likely outlines the steps involved in data collection, preprocessing, model training, and evaluation, providing a practical example of how data science can be used to analyze and forecast demographic trends.

Author(s) :

Shashank Gupta

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Key topics

Health and Wellbeing

Also found in

Technology for Social Change and Organisational Efficiency

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