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An outline of your experimental design for the development of a learning system
An outline of your experimental design for the development of a learning system for formative feedback from your tutor.
You will now submit an outline of your experimental design for the development of a learning system for formative feedback from your tutor. This may include, choice of algorithms, training procedures, and performance evaluation metrics to be used. This is part of your individual learning system development activity, which forms part of the summative assessment.
Assignment Details
You are required to carry out an experiment using the WEKA software tool and the appropriate dataset available at UCI or Kaggle. You will need to demonstrate to the senior management of the start-up company discussed in Unit 9, the feasibility of the AI technology deployment in at least one of the key areas you identified in your Unit 9 report. It does not have to be an exact solution, but you must demonstrate the application of the idea and how the approach and methods of the experiment can be transferred.
https://archive.ics.uci.edu/datasets
https://www.kaggle.com/datasets
Note: Ill attach the report u did before (as stated above unit 9)
The accompanying report to this solution must have following aspects. Note that the associated grading criteria are highlighted in the requirements below, to be reviewed alongside the full outline of the grading criteria (located in Module Resources):
Brief information on the business context (Knowledge and Understanding weighted at 5%).
Justification of the choice of dataset (Knowledge and Understanding weighted at 5%).
Justification of the approach to developing the prediction model (Knowledge and Understanding weighted at 10% and Application of Knowledge and Understanding weighted at 5%).
Rationale for the machine learning algorithms used (Knowledge and Understanding weighted at 5%, Application of Knowledge and Understanding weighted at 10%).
Analysis of the outputs with evidence of testing (Application of Knowledge and Understanding weighted at 10%, critically weighted at 10%).
Demonstration that the application of the approach and methods developed from this experiment can be applied to the problem identified in the Unit 9 report (critically weighted at 15%).
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