APB-Data-Mining

Milestone Unit: Data Mining

(Data mining milestone unit)

 

Abstract:

This unit collects data mining units into a milestone.

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Objectives: ...

Outcomes: ...

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Deliverables:

Time management: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.

Journal: Document your progress in your Course Journal. Some tasks may ask you to include specific items in your journal. Don't overlook these.

Insights: If you find something particularly noteworthy about this unit, make a note in your insights! page.

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Prerequisites:

• APB-Data-Correlation (Correlation)
• APB-ML (Milestone Unit: Machine Learning)
• EDA-CLU (Milestone Unit: Clustering)
• EDA-Graph_data_mining (Graph Data Mining)
• EDA-Heatmap (Heatmaps)
• EDA-Visualization (Visualization for EDA)

 

This page is not currently being maintained since it is not part of active learning sections.

 

 

Evaluation

Evaluation: NA

This unit is not evaluated for course marks.

Contents

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Self-evaluation

Further reading, links and resources

Notes

 

About ...
 
Author:

Boris Steipe <boris.steipe@utoronto.ca>

Created:

2017-09-17

Modified:

2017-09-18

Version:

0.1

Version history:

• 0.1 First stub

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This page is not currently being maintained since it is not part of active learning sections.