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PRACTICAL MACHINE LEARNING PORTFOLIO SUBMISSION
DR ADRIAN BEVAN
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A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
PREPARING YOUR WORK FOR SUBMISSION▸ Make a working directory that has the form (see the
introduction slides): ▸ YOUR_NAME_PML_Week1 ▸ YOUR_NAME_PML_Week2 ▸ YOUR_NAME_PML_Week3
▸ e.g. for me this would be: ▸ ADRIAN_BEVAN_PML_Week1 ▸ ADRIAN_BEVAN_PML_Week2 ▸ ADRIAN_BEVAN_PML_Week3
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QMUL Summer School: https://www.qmul.ac.uk/summer-school/ Practical Machine Learning QMplus Page: https://qmplus.qmul.ac.uk/course/view.php?id=10006
While the OS can handle whitespaces, this becomes cumbersome on other systems.
As a result please do not use whitespace characters in the names of your directories.
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
PREPARING YOUR WORK FOR SUBMISSION▸ e.g. for Week 1 you should put all of your code assignment
and summary document work in the Week1 directory: ▸ YOUR_NAME_PML_Week1
▸ This includes python scripts and PDF files of your results where appropriate (see assignments for details of what work is expected for each week).
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A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
PREPARING YOUR WORK FOR SUBMISSION▸ For a given week you will need to compress the directory
that you want to submit. ▸ You are expected to upload zip files at the end of each
week of the School. ▸ These zip files will be unpacked for assessment.
▸ N.B. Maximum file size for submission is 50Mb, you should be submitting much smaller directories than this, so you should not encounter problems as long as you retain the files for marking as instructed.
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A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
UPLOADING A DRAFT�5
1) Click here to bring up the “File submissions” page
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
UPLOADING A DRAFT�6
1) Click here to bring up the “Upload a file side menu”
2) Click here to brows for an attachment
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
UPLOADING A DRAFT�7
3) Double check the file name 4) Upload
This example shows a tar file upload. You are expected to use a standard windows zip file for grading, however if is also acceptable to submit a tar file if you know how to do that
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
UPLOADING A DRAFT�8
5) Save changes
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
DRAFT UPLOAD CONFIRMATION▸ You will know that you have uploaded a draft of your work
(this is not submitted yet) as you will see the following:
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Draft uploaded (not yet submitted) - you can replace a submission up until the deadline.
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
REPLACING A DRAFT▸ Click on the following “Edit submission“ button and repeat
the upload procedure.
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A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
REPLACING A DRAFT�11
Click on the file to delete a draft and replace.
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
REPLACING A DRAFT�12
Click on the file to delete a draft.
(confirm OK)
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
REPLACING A DRAFT�13
Click on the file to delete a draft.
(confirm OK)
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
SUBMIT ASSIGNMENT FOR GRADING▸ Click on the following submit assignment button
▸ Then click on continue to confirm
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1) Submit the work for grading
2) Confirm submission
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
CONFIRMATION OF SUBMISSION▸ You will know that you have submitted your work through
two means:
▸ Firstly a confirmation screen online
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Work submitted
A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
CONFIRMATION OF SUBMISSION▸ You will know that you have submitted your work through
two means:
▸ Secondly a confirmation e-mail
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A. Bevan
PRACTICAL MACHINE LEARNING: TEMPLATE
LATE SUBMISSIONS▸ Late submissions will incur the standard QMUL late policy:
▸ Where an assignment is submitted late (and there are no extenuating circumstances) a mark of zero (0FL – zero, fail, late) shall be applied immediately.
▸ Extenuating circumstances (EC) need to pass the following test:
▸ A student unable to complete coursework by, or on, the specified date due to medical or other reasons beyond their control, shall submit a claim for extenuating circumstances supported by appropriate documentary evidence.
▸ Hopefully we will not need to consider ECs for any of you. If you fall ill, or something else happens that is beyond your control that prevents you from submitting work, please contact me as soon as practicable so that I can provide you with the information required to submit an EC claim for this course through the School of Physics and Astronomy.
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