Welcome to "More Data Mining with Weka".

Welcome to the course "More Data Mining with Weka". The six lessons for Class 1 are now available on the course website:

   

https://weka.waikato.ac.nz/moredataminingwithweka/

 

We will release classes 2, 3, 4, and 5 at approximately the same time (Monday noon NZ time) in the upcoming weeks, and send reminder announcements.

  

The course includes the following resources:

• the Weka software
• videos, one per lesson, on YouTube
•  the videos include captions (English and Chinese), which can be turned on in YouTube
•  we recommend viewing in HD format, again a YouTube control
•  slides used in the videos (PDF format)
•  text files containing transcripts of the videos
•  activities that follow each lesson
•  access to selected excerpts from Data Mining (3rd Edition) - plus you can buy a discounted copy from the publisher
• mid-course assessment (opens 27 Oct, after the Week 2 content) 
•  final assessment (opens 17 Nov, after Week 5 content)
•  announcement forum, blog, twitter feed (available from the course website)
•  discussion forum.

  

 for Chinese participants:

•  videos on our Youku channel
•  one version with captions in Chinese and another with English captions
• http://i.youku.com/u/UMTI4NTE5OTA0NA==

Some notes for participants:

• work through the videos and activities at your own pace, in your own time
• a new class appears every week; old classes will remain available until the course closes
• in theory, you could leave all your learning to the last week (we don't recommend this!)
• please subscribe to the announcement forum if you haven't already done so: this is the best way to stay up-to-date with the course (click on Membership and email settings to subscribe)
• only the mid-course and final assessments count towards the Statement of Completion
• please check your name and marks in the My Profile section of the website (this is the data we will use to produce your Statement of Completion)
• during the videos, it may help to follow with Weka on your own computer ("click along with Ian")
• the course should take 3–5 hours/week (4–6 hours if you do the optional reading)
• a detailed syllabus is available:

     https://weka.waikato.ac.nz/moredataminingwithweka/assets/pdf/syllabus.pdf

 

A reminder that you can review material from the Data Mining with Weka course at:

 

http://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/

 

You will be using Weka 3.6.11 throughout this course, so please download it and install it on your computer. This is a new version and it is *not* the same as the version used for the previous course. It’s available at both:

 

 http://www.cs.waikato.ac.nz/ml/weka/downloading.html 

and 

http://sourceforge.net/projects/weka/files/weka-3-6/

 

Please help us by filling out the pre-course survey if you have not already done so.

 

By the time you have finished this course you will be an expert user of Weka and very knowledgeable about data mining generally. But it will take some effort, and motivation.

 

cheers, and good luck

Ian

 

 

http://weka.waikato.ac.nz/

https://twitter.com/WekaMOOC

http://wekamooc.blogspot.co.nz/