SOST30062 Data Science Modelling Final Report Writing - IT Assignment Help

Assignment Task

Description of the task
We provide you with a large social science dataset, which you will need to analyse in your  report. You can download the dataset and additional description from the “Assessment / 
Assignments, tasks” page of the course Blackboard.
Using the dataset, you are asked to

• 1. select one variable, Y, to be explained by the other variables, the Xs, in the dataset;
• 2. motivate and formulate a research question about Y and the Xs (we present many  examples of possible research questions throughout the course);
• 3. apply an unsupervised learning technique (lecture week 9) to explore the dataset, such as PCA, clustering techniques (Method I – exploration);
• 4. choose a supervised learning technique (lecture weeks 3-5 and 8) that is appropriate forY and answers your research question, such as regression models, splines, LDA, treesbased methods (Method II – inference);
• 5. apply the method selected in the last step in a suitable advanced analytic approach(lecture weeks 6-7), such as subset selection, ridge regression, cross-validation, bootstrap, LASSO (Method III – the “twist”);
• 6. write a report on the above steps, producing no more than one descriptive figure or table and one inferential figure or table that sum up your results.

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