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An analytics and visualisation project on labelled data for ten year risk of coronhary heart disease. A machine learning model was trained to predict risk of CHD

The notebook includes the following sections:

  • Preprocessing and cleanining
  • Data exploration and Visualisation
  • Feature Selection
  • Classification modelling (XGBoost)
  • Evaluation

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