Risk Analytics and Big Data - Statistics Assignment Help

Assignment Task

Aim- The goal of the technical assignment is to enable students to demonstrate independent quantitative research skills, and to apply these skills to a dataset provided to derive original insights.

Required - This report is to be structured in a similar manner to the Summer Dissertation, using the following headings as a guide:

Introduction: Define the research questions to be solved, which must be derived from the French Motor Insurance or Consumer Credit Risk provided from the CASdatasets repository. Include a relevant literature review.
Data: Describe data chosen (in your own words). Explore, analyse and summarise the data. Describe data preparation and manipulation methods employed.
Methodology: Describe quantitative research approaches used – use appropriate (un-)supervised learning methodologies described in course material and labs. Provide a rationale for using this method or show how various methods were applied before arriving at the one(s) chosen.
Results: Summarize and interpret research findings. Make a note of any limitations of the analysis (i.e. model assumptions, data, etc.)
Conclusion: Refer to the research questions posited in the introduction and to what extent they are answered in results. Indicate the novelty/originality of the analysis. Include a brief reflection on the ethical considerations to be made when using machine-learning techniques(MATLAB) for contemporary risk assessment.

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