/Countries-Life-Expectancy

Primary LanguageJupyter Notebook

Introduction

The research on life expectancy in countries takes the spotlight in the notebook's machine learning model. Substantial data analysis and predictive algorithms are used to uncover the reasons causing differences in longevity among countries. With the aid of strong statistical tools, valuable insights into the complex link between healthcare, socioeconomic factors, and life expectancy are sought. Each line of code in this project strives to unravel the riddles behind human lifespan, ultimately contributing to a deeper knowledge of global health inequities.

Tasks in this notebook

  • • Dataset overview
  • • Import libraries
  • • Read dataset and get information from data
  • • Cleaning Data
  • • Data visualization
  • • Features
  • • Modeling
    • • Linear Regression
    • • KNeighbors Regressor
    • • Decision Tree Regressor
  • •Predictions visualization