$\frac{2}{4}$

$80\%$

Assessment Instructions

Part A: Simulation of Machine Learning $(60$ minutes$)$

Your facilitator would have assigned you to a group of $3$ to $4$ students prior to this in$-$class assessment. As a group, you will:

Discuss and work together on Python libraries $($in PyCharm$)$ to analyse the given dataset which will enable you to assess the characteristics of data and discover findings that lead to implications.

Use the provided dataset to create a predictive model. Consider the following:

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Kaplan Business School Assessment Outline

The appropriate machine learning algorithms.

The output from running the model.

Take note of your discussion and simulation for the group presentation.

Part B: Evaluation and Presentation $(30$ minutes$)$

In the same group, you are required to create a group oral presentation to evaluate and showcase your work from Part A considering the following:

Use a presentation tool such as PowerPoint.

Show the applications used to assess the dataset and create the model by selected Python libraries.

The process of choosing the appropriate machine learning algorithms.

The output of the predictive model.

Other methods you could use for prediction and contrast with the one you have used.

Recommendations that you will provide based on the findings and implications.

You are given $20$ minutes to evaluate the findings and prepare the presentation and $10$ minutes to