Advanced Data Mining with Weka
University of Waikato via Independent
Overview
This course follows on from Data Mining with Weka and More Data Mining with Weka. It provides a deeper account of specialized data mining tools and techniques. Again the emphasis is on principles and practical data mining using Weka, rather than mathematical theory or advanced details of particular algorithms. Students will analyse time series data, mine data streams, use Weka to access other data mining packages including the popular R statistical computing language, script Weka in Python, and deploy it within a cluster computing framework. The course also includes case studies of applications such as classifying tweets, functional MRI data, image classification, and signal peptide prediction.
Syllabus
Pre-course survey Open
Class 1 - Time series forecasting Open
Class 2 - Data stream mining with Weka and MOA Closed;
Mid-course assessment Closed;
Class 3 - Interfacing to R and other data mining packages Closed;
Class 4 - Distributed processing with Apache SPARK Closed;
Class 5 - Scripting Weka in Python Closed;
Post-course assessment Closed;
Post-course survey Closed;
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Reviews
5.0 rating, based on 2 reviews
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Anonymous
Anonymous is taking this course right now.
I am just studying in the second week of the "Advanced Data Mining with Weka" . This is one of the best machine learning courses I have taken so far. I have already learned to make time series analysis with Weka and I am taking on the the built-in as... -
Juan Caballero2
Juan Caballero completed this course.
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