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Case Study 1: Students are required to select a date 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 analysing approach. (Marks: 20)
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 analyse 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.
Binary search tree, and postorder and preorder traversal Determine the shortest path in Graph
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