Highlights
Students are expected to use your own data set from an application of interest. I recommend you to use a real data set which will give you an opportunity to start on a publication. Do not use time series data. You should try to get a structured data set with over 6 variables and with over 100 observations. Students who are unable to find a good data set will be provided with a data set. Finding a suitable data set is also a part of the exercise. Students should select a suitable data set by week 6.
In this assignment you will look at various aspects of the data and write a report. You are expected to write the report as a publication to submit to a hypothetical conference. Use the format as the given sample paper with additional information given as appendix. Submit the document online via the TurnItIn link in vUWS. (Include a cover sheet uploaded in vUWS)
The report should explain the steps taken and conclusions drawn from the data and should include research questions stated in statistical language, analysis justification and assumptions of the analysis. Explain your data analysis process logically and connectively.
Students are expected to carry out the following:
1. Supervised Learning:
Either
Two methods for Regression analysis
OR
Two methods for Classification analysis
OR
One method for Regression analysis AND One method for Classification analysis PLUS: Model validation, evaluation and testing has to be carried out.
2. Unsupervised Learning:
Perform Clustering OR Principal Component Analysis
The Report Headings:
• Abstract
• Introduction
• Data Description Explore and Pre Processing
• Aims and Objectives
• Method1: (Should include Model building, Validation, Evaluation and Testing)
• Method 2: (Should include Model building, Validation, Evaluation and Testing)
• Model Comparison
• Results and Recommendations
• References
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