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This was a research task on Life expectancy using the publicly available WHO dataset built with python and jupyter.

The report is seperated into 3 main chapters

  • Descriptive analytics
  • Diagnostic analytics
  • Predictive analytics

The python libraries used for this project were:

  • pandas (data manipulation)
  • matplotlib (visualisation)
  • seaborn (visualisation)
    • plotly (visualisation)
  • scikit-learn (Machine learning)
  • Prophet (Machine Learning)

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Analysis of WHO dataset

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