Students are required to select a data set for regression tasks and define a question based on business requirement. This should include: (i) selection of dataset; (ii) exploring, summarizing and preparing the data; (iii) defining the problem and requirements; (iv) defining an experiment setup; (v) implementing your approach; and (vi) evaluating and analyzing approach. (Marks: 15)

- Problem: Describe the problem and highlight the business need.

- Approach: Describe your approach It should focus on e.g., learning techniques, features, model tuning, parameter selection and analysis e.g., how the analysis will answer your questions

- Results: Summarize results and critically analyze results e.g. limitations of data, setup or approach, characteristic errors, possible improvements.

- Conclusion: Conclude with what you have learned from this study which would improve yourself as a data analyst. Would you recommend this as a solution to your problem? Provide reasons.