Dear All,
Welcome to Week8 of COMP9321. I hope that you've had some time to enjoy the Easter Break and look after yourself.
For this Week, we are going to continue with Data Analytics. We are going to Clustering and more example models. We will run some exercises of how we can build some ML models using Scikit-learn. Since Monday was a public holiday and in order to keep up with the Material coverage, so I have created a recording covering the Classification and Regression. I have also included some in class exercises about the topics. Please check it out in the recording folder or through the link here ( COMP9321 Week8 Monday replacement recording-20260407_000630-Meeting Recording.mp4 ). Feel free to drop any questions you have about the lectures in ED forum (tag with Lecture) or reach out to me directly if you prefer.
The Lab activities for Week8 are now available. We encourage you to do them at your own convenience. As always, we have consultation labs for everyday of the week. Check the timetable section for the times.
In the beginning of Thursday lecture, we are going to acknowledge the learning effort done in DataCamp, and award 1 bonus mark for the top learner on the XP ranking leader board in the past month. So, keep up the good work. Also, if you have not checked out my last announcement about the challenge, please feel free to do so.
Regarding Assignment3, the specification will be visible today in ED for your viewing. We are going to do a walkthrough on Thursday to make sure we answer any question. Jump right through and start working on assighmnmnent3. As we mentioned in the lecture, working with ML is more iterative to work toward improving your model and achieving better results.
The COMP9321 teaching team is always rooting for you and here to help. Do not hesitate to use the forum to ask as many questions or contact us via the course email.
As always, remember to have fun and enjoy the learning experience. :)
Cheers,
COMP9321 Teaching Team
Dear All,
I hope that you are enjoying the easter break and looking after yourself.
I just wanted to re-iterate what we mentioned in the lecture Yesterday about Assignment3. The specification will be release early next week (Tuesday). Monday is a public holiday, so there is no lecture. I am preparing a recording to a replacement lecture and will make that available.
On another topic, I have created an activity in DataCamp if you are interested in earning 3 Bonus marks. Head to DataCamp ( Assignments ). the Activity is about a predictive model, so it will also help you preparing for assignment3. Associated with the small project is all the supporting resources that you may decide to leverage if needed. This is completely optional, and you may decide to earn the bonus marks in other ways as we discussed before. if you are not in DataCamp and this activity motivated you to join, feel free to do so leveraging the information in the poll (https://webcms3.cse.unsw.edu.au/COMP9321/26T1/activities/polls/1817). The actvity will expire by the end of the day Monday the 12th of April (no extensions will be provided as this is a bonus activity).
Happy Learning...
Dear All,
Assignment 1 marks and feedback are available now, and you can check your mark using the following command on CSE lab machines:
9321
9321 classrun -sturec
You should check "assign1" and "assign1feedback" fields;
In the feedback section, you can find the point of contact in case you have any inqueries. Please contact the tutor who marked your assignment.