HIA303: To perform preprocessing and data analysis (statistics) with Python on the given dataset and find the best-supervised: Health Data Analytics Assignment, UM, Malaysia

University Universiti Malaya (UM)
Subject HIA303: Health Data Analytics
  • Objective

To perform preprocessing and data analysis (statistics) with Python on the given dataset and find the best-supervised learning technique/method to model this dataset. Document your findings with the Python codes and the implication of the machine learning method that leads to an accurate model.

Tasks

  1. Place your focus on machine learning technique
  • You need to include at least 2 or as many supervised learning methods for the best evaluation rate with an explanation in the report
  • Include visualization on the statistical analysis and machine learning evaluation metric and confusion matrix
  1. Apply your knowledge of important Python libraries
  2. Justify the machine learning technique you choose for the given dataset.
  3. Include visualization on the statistical analysis and machine learning evaluation metric and confusion matrix

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