Highlights
Option 1: Skill-based assignment DATA SET posted
Write a report using the dataset provided.
A payday loan company used human experts to assess the credit risk of 988 credit applications. The aim is to use this input to create a system that to estimate the credit risk of new applications. Answer the following questions based on your own analysis.
Q1: What according to you are the most important determinants of credit risk?
(a) Present convincing arguments based on insights from the dataset
(b) What are the limitations of your argument?
Q2: The management team wants to use your analysis to propose a system.
Can you give an estimate of how accurate your algorithm is likely to be?
Q3: What according to you are some of the benefits and risks of adopting such analytics in assessing credit applications. Important: Please write your report in a way that can be read and understood by a non-technical audience. ?
Option 2: Research-based assignment
Write a report using publicly available information about the impact of Predictive Analytics.
(PA) in your chosen industry. You will need to use at least two firm examples and contrast the impact and approach of these firms for how they deploy PA and to what effect.
Option 3: Reflective assignment
Write a report on a current project or business plan that you are involved in, or one that you would like to pursue. You should explain how you could use the topics in this PA course in this venture.
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