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
- 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
- Apply your knowledge of important Python libraries
- Justify the machine learning technique you choose for the given dataset.
- Include visualization on the statistical analysis and machine learning evaluation metric and confusion matrix
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