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

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 >