APB-ML-mlr

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The mlr R Package


 

Keywords:  (Draft) ...


 



 


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Abstract

(Draft only: edit during development) The R mlr package for diverse machine learning algorithms.


 


This unit ...

Prerequisites


 


Objectives

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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.


 


Evaluation

Evaluation: NA

This unit is not evaluated for course marks.


 


Contents

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Further reading, links and resources

 


Notes


 


Self-evaluation

 



 




 

If in doubt, ask! If anything about this learning unit is not clear to you, do not proceed blindly but ask for clarification. Post your question on the course mailing list: others are likely to have similar problems. Or send an email to your instructor.



 

About ...
 
Author:

NN <email@host>

Created:

2017-09-17

Modified:

2017-09-18

Version:

0.1

Version history:

  • 0.1 First stub

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