March 02, 2020

Submission date and instructions for your project work

Follow-up to teaching schedule, now ready from Rudo's blog

Dear all,

you should now all be close to finishing your project work for the machine learning course. I hope it has all gone well and that you had some fun exploring machine learning. The official date for submission is

Friday, March 6 at 17:00.

For submission, please remember that we want you to submit a running machine learning code using a jupyter notebook with comments that explain step by step what you did and why. Please also supply the data so that Djena and I can run the code ourselves. The easiest way to send us the submission is via

https://files.warwick.ac.uk/rroemer/sendto

where you can upload both jupyter notebook and data (preferably as a single .zip file). If your data files are too big for upload there (I have 4.5GB in total on that upload drive), please send a link at which we can then download the data. Please remember that it is your responsibility to make sure data and notebook work "out of the box", i.e. without us having to change anything before they work, including directories.

We aim to have feedback for you by the end of March and will communicate this by email to each of you (so please also let me have your preferred email address in your jupyter notebook).

Cheers!


- No comments Not publicly viewable


Add a comment

You are not allowed to comment on this entry as it has restricted commenting permissions.

March 2020

Mo Tu We Th Fr Sa Su
Feb |  Today  | Apr
                  1
2 3 4 5 6 7 8
9 10 11 12 13 14 15
16 17 18 19 20 21 22
23 24 25 26 27 28 29
30 31               

Search this blog

Tags

Galleries

Most recent comments

  • Please note that this link to download is now obsolete. Attendees for the 2021 MPAGS/CYU course shou… by Rudo Roemer on this entry
  • To load Tensorflow and PyTorch (and Keras) modules on ORAC may you may have to module load a few mor… by Daniel Paget on this entry
  • That's cool. Perhaps you want to show people during class next week how to run on Kaggle? by Rudo Roemer on this entry
  • Regarding possible alternatives to benefit form a GPU, I have personally used Kaggle, by Google, its… by Juan on this entry
  • Hello to you all, I was just trying to make the programs run in my VirtualBox with Ubuntu 18.04 inst… by Malaquias Correa on this entry

Blog archive

Loading…
Not signed in
Sign in

Powered by BlogBuilder
© MMXXI