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Life Expectancy Prediction for WHO

Business Problem

WHO wants a data driven approach which could help in suggesting a country which area should be a given importance in order to effciently improve the life of expectancy of it's population.

Data Science Problem:

Build a prediction engine which predicts the life expectancy based on various features like status of the country GDP Alcohol consumption, Adult Mortality Rate etc.

Types of ML Problem :

Regression Problem

DATASET :

datasetlink

Getting Started

Start by downloading the project and run "stackoverflow.ipynb" file in ipython-notebook.

Tools:

You need to have installed following softwares and libraries in your machine before running this project.

  1. Anaconda
  2. python version: 3.7.3
  3. numpy version: 1.16.4
  4. pandas version: 0.24.2
  5. seaborn version: 0.9.0
  6. matplotlib version: 3.1.0
  7. sklearn version: 0.22.1
  8. statsmodels version: 0.10.0
  9. imblearn version : 0.6.1

lep's People

Contributors

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Watchers

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