Data Mining with Weka

It involves no computer programming, although you need some experience with using computers for everyday tasks

High school maths should be more than enough and you’ll need an understanding of some elementary statistics concepts (means and variances)

Demonstrate use of Weka for key data mining tasks

Evaluate the performance of a classifier on new, unseen, instances

Explain how data miners can unwittingly overestimate the performance of their system

Identify learning methods that are based on different flavors of simplicity

Apply many different learning methods to a dataset of your choice

Interpret the output produced by classification methods

Describe the principles behind many modern machine learning methods

Compare the decision boundaries produced by different classification algorithms

Debate ethical issues raised by mining personal data

This course is aimed at anyone who deals in data