This learner has completed ID verification. Find out more.

Certificate of Achievement

Diego Diaz

has completed the following course:

Advanced Data Mining with Weka

The University of Waikato

This online course introduced expert-level skills in practical data mining. Participants learned how to use extensions to Weka to solve a variety of large-scale problems and to interface to scripting facilities and other data mining systems. They encountered diverse applications of data mining.

5 weeks, 4 hours per week

Educators

Ian H. Witten

Professor of Computer Science

The University of Waikato

0%

86%

average test score

Transcript

Learning outcomes

  • 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

Syllabus

  • 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

Issued on 16th December 2017

The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.

This learner has verified their identity. For more information about how FutureLearn verifies identities, visit futurelearn.com/verification/how-it-works. The certificate and transcript do not imply the award of credit or the conferment of a qualification from The University of Waikato.

Free online course:

Advanced Data Mining with Weka

The University of Waikato