Faculty of Engineering, Environment and Computing 6006CEM Machine Learning and Related Applications Coursework Template Coventry University

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Faculty of Engineering, Environment and Computing 6006CEM Machine Learning and Related Applications Coursework Template Coventry University

Appendix A

 

< A suggested checklist for you, for full details please refer to the coursework brief >

1. The following naming convention is used for the Coventry GitHub Repository and Coventry OneDrive

StudentID-Initials-s1

For example, a student Leo Messi whose student ID is 12345678 would name their repository or shared folder as 12345678-LM-s1

Failure to follow the naming convention may delay the release of marks and feedback for your coursework.

2. Coventry GitHub Repository URL or Coventry OneDrive URL: added to the top of this report
4. • Coventry GitHub Repository includes:

• URL of the selected dataset(s) included in README
• The original selected dataset(s)
• Source-code (.ipynb)
• Demonstration video (.mp4)
  • Coventry OneDrive folder includes:
• URL of the selected dataset(s) included in a separated text file
• The original selected dataset(s)
• Source-code (.ipynb)
• Demonstration video (.mp4)

3. Source-code added as text in Appendix B (below)
4. Submission in the form of a Word **Other formats are not accepted.

 

 

 

Appendix B

 

< Replace this instruction with all the Programming Code for the coursework.

Make sure you have highlighted and referenced any code not written by you >

 

< DO NOT use screenshots of your code here. Your code should be presented as text.

There are many good tools to help you format your code such as http://hilite.me >

 

< You can select and copy all code at once in a notebook by:

 

• clicking in any cell of the notebook, the cell will be highlighted in green as below

 

 

• then press Esc on your keyboard, the selected cell will be highlighted in blue as below

 

 

 

 

 

• now you can Ctrl+A to select all cells of the notebook

 

• and then copy and paste as normal to some tool, such as me above, make sure you select a correct language (Python), then click Hightlight

 

 

• you now can select the text in the Preview and copy and paste it over to this Appendix

 

 

 

 

 

 

 

 

 

 

• finally, remember to remove all text in this instruction for this Appendix >