Advanced Data Mining with Weka

Online Course

The University of Waikato

Future Learn

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Advanced Data Mining with Weka

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
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What is the course about?

Advanced Data Mining with Weka

The course Advanced Data Mining with Weka is an online class provided by The University of Waikato through Future Learn. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how to use popular packages that extend Weka’s functionality and areas of application. Use them to mine your own data!

Course description

Extend your repertoire of data mining scenarios and techniques
5 weeks

This course will bring you to the wizard level of skill in data mining, following on from Data Mining with Weka and More Data Mining with Weka, by showing how to use popular packages that extend Weka’s functionality. You’ll learn about forecasting time series and mining data streams. You’ll connect up the popular R statistical package and learn how to use its extensive visualisation and preprocessing functions from Weka. You’ll script Weka in Python – all from within the friendly Weka interface. And you’ll learn how to distribute data mining jobs over several computers using Apache SPARK.

Time series analysis
Data stream mining
Incremental classifiers
Evolving data streams
Support vector machines
Accessing data mining in R
Distributed data mining
Map-reduce framework
Scripting data mining in Python and Groovy
Applications: Soil analysis, Sentiment analysis, Bioinformatics, MRI neuroimaging, Image classification

Discuss the use of lagged variables in time series forecasting
Explore the use of overlay data in time series forecasting
Identify several different applications of data mining with Weka
Compare incremental and non-incremental implementations of classifiers
Evaluate the performance of classifiers under conditions of concept drift
Classify tweets using various techniques
Calculate optimal parameter values for non-linear support vector machines
Demonstrate the use of R classifiers in Weka
Develop R commands and R scripts from Weka
Explain how distributed Weka runs Weka on a cluster of machines
Experiment with distributed implementations of Weka classifiers and clusterers
Explain how “map” and “reduce” tasks are used to distribute Weka
Design Python and Groovy scripts for Weka operations
Apply Python libraries to produce sophisticated visualizations of Weka output
Describe how Weka can be invoked from within a Python environment

This course is aimed at anyone who deals in data. You should have completed Data Mining with Weka and More Data Mining with Weka – or be an experienced Weka user. Although the course includes some scripting with Python, you need no prior knowledge of the language. You will have to install and configure some software components; we provide full instructions.

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Prerequisites & Facts

Advanced Data Mining with Weka

Course Topic

Data Science, IT & Computer Science, Science, Engineering & Maths

University, College, Institution

The University of Waikato

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Advanced Data Mining with Weka

To obtain a verified certificate from Future Learn / The University of Waikato you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

The University of Waikato

Advanced Data Mining with Weka

provided by Future Learn

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