Topic: Missing Data Imputation Using Supervised Machine Learning

Speaker: Marcus Suresh, Department of Industry, Science, Energy and Resources

Date and time: 6-7pm Tuesday 28 July 2020, AEST

Venue: Virtual via Zoom

RSVP: https://www.meetup.com/CanberraDataSci/events/266992810/

After RSVP, please also register for the Zoom meeting under "Online event" in a right side panel on above webpage.

Link to paper: https://link.springer.com/chapter/10.1007/978-3-030-35288-2_18

Link to PyImpuyte: https://pypi.org/project/PyImpuyte/

AusDM 2020 will run as a virtual conference in December. Registration costs will be reduced and announced in August.

Industry showcase talks are welcome, as well as research and application papers.

Submission deadline: 7 August 2020.

https://ausdm20.ausdm.org

CFP: IEEE DSAA 2020

The 7th IEEE International Conference on Data Science and Advanced Analytics
Sydney, Australia
6-9 October 2020
http://dsaa2020.dsaa.co/

Important dates:
Paper Submission Deadline: 24 May 2020
Notification: 26 Jul. 2020
Camera Ready Due: 9 Aug. 2020

The 17th Australasian Data Mining Conference (AusDM 2019) will be held in Adelaide, Australia, 2-5 December 2019.

The Conference Program is now available at http://nugget.unisa.edu.au/AusDM2019/program.php, which features keynotes, tutorials and presentations on AI, data mining and machine learning.

Registration of AusDM 2019 also gives access to the full program of the AI 2019 Conference.

See registration details at http://nugget.unisa.edu.au/AusDM2019/registration.php 

G-NAF is Australia’s authoritative, geocoded address file, containing than 13 million Australian physical address records with geocodes. It is produced by PSMA Australia Limited (PSMA), an unlisted public company formed by the nine governments of Australia to collate and standardise, format and aggregate location data from each of the jurisdictions into authoritative location based national datasets.

A Youtube video on Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough 

https://www.youtube.com/watch?v=HW29067qVWk

I have run a tutorial on Machine Learning with R for the Melbourne Data Science Week in June 2017, which consists of four sessions:

• R Programming
• Association Rule Mining with R
• Text Mining with R
• Social Network Analysis with R

All materials of the above tutorial, incl. PDF slides, datasets and R scripts can be downloaded as a single ZIP archive at

http://www.rdatamining.com/training/medascin/MLwR.zip

 

How to use it:

1. Decompress the ZIP archive, and you will find file and folders below:
• MLwR.Rproj: RStudio project file
• code: R scripts
• data: datasets
• docs: PDF slides
• figures: charts
2. Open the “MLwR.Rproj” file with RStudio
3. Open each PDF slides file (in folder “docs”) and run its corresponding R scripts (in folder “code”) to learn each topic

Detailed instructions for the tutorial are available at http://www.rdatamining.com/training/medascin    

Slides of 10+ seminars organised by Canberra Data Scientists Meetup Group are available on Google Drive.