- Platform
- FutureLearn
- Provider
- University of Waikato
- Effort
- 4 hours/week
- Length
- 5 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Part of
-
Practical Data Mining program
- Course Link
Overview
Extend your repertoire of data mining scenarios and techniques
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.
This course is aimed at anyone who deals in data. You should have completed Data Mining with Wekaand 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.
Before the course starts, download the free Weka software. It runs on any computer, under Windows, Linux, or Mac. It has been downloaded millions of times and is being used all around the world.
(Note: Depending on your computer and system version, you may need admin access to install Weka.)
What topics will you cover?
Taught by
Ian Witten
Extend your repertoire of data mining scenarios and techniques
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.
This course is aimed at anyone who deals in data. You should have completed Data Mining with Wekaand 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.
Before the course starts, download the free Weka software. It runs on any computer, under Windows, Linux, or Mac. It has been downloaded millions of times and is being used all around the world.
(Note: Depending on your computer and system version, you may need admin access to install Weka.)
What topics will you cover?
- 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
Taught by
Ian Witten