And date and online activity data

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ii. What were the main insights generated from the clustering analysis and how the organization/firm was able to generate value?

Part 2 – Data Analytics – Azure Task (30 points)

a.Test different models (20 points):
i.Run different prediction models in Azure ML, for each model, describe the data preparation, the model you run (provide print screens), the different input parameters, and show the out-of-sample accuracy of your models?

ii.Which model will you implement for predicting sales?

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Part 3 – Prediction competition – Azure Task (40 points)

Grading of this question (4b) will be based on your prediction accuracy (using F1 Score), i.e., the student with the best results will score 25 points, the student with the second-best results will score 24 points and so forth. In case of a tie in the accuracy score, time of submission will determine the ranking.

• The datasets for this question are in the “Final Assignment Datasets” folder on BlackBoard: oThe training dataset is “events_training.csv”
oThe test dataset is “events_test.csv”.