Basic Information about team - Green EdTech
Course Content
Introduction to Data Mining
This is structured as a five week course: Week 1: Exploring Weka’s interfaces, and working with big data Week 2: Discretization and text classification Week 3: Classification rules, association rules, and clustering Week 4: Selecting attributes, and counting the cost Week 5: Neural networks, learning curves, and performance optimization.
Week 1
In Week 1 you will explore Weka’s other interfaces: the Experimenter, which allows you to run experiments that compare different methods; the Knowledge Flow interface, which lets you set up a graphical workflow for your data mining project; the Command Line interface, which accepts more complex commands to Weka. And you will learn about “big data” and how to deal with it in Weka. At the end of the week you’ll be equipped to use all Weka’s facilities, including stream-oriented processing for massive datasets.
Grade 8th- Data Mining
About Lesson

The week covers a handful of activities that together address the questions. Each activity comprises:

  • 5-10 minute video
  • Quiz. But no ordinary quiz! In order to answer the questions you have to undertake some practical data mining task. You don’t learn by watching someone talk; you learn by actually doing things! The quizzes give you an opportunity to do a lot of data mining.

I hear and I forget. I see and I remember. I do and I understand. (Confucius)

You will get additional benefits by purchasing an upgrade, including access to the tests:

  • Mid-class test at the end of Week 2
  • Post-class test at the end of Week 5
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