Author: Max Drake

Weka 2. Weka Machine Learning “Explorer” alternative interfaces “Experimenter”, “Knowledge Flow” & “Command Line”.

Following on from the first Weka post, which was based on information gleaned from the Data Mining with Weka course that I followed. This post is based on the following More Data Mining with Weka videos. Some of  the screenshots below from the video’s that have been developed and are presented by Ian Witten of

Free WEKA machine learning algorithms for data mining tool

  In exploring the data analytics tools (Knime, Rapid Miner, FME, Orange..) there has been references to WEKA. Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression,

Regular Expressions/Regex for data cleaning

A regular expression, regex or regexp A regular expression, regex or regexp is, in theoretical computer science and formal language theory, a sequence of characters that define a search pattern. Usually this pattern is then used by string searching algorithms for “find” or “find and replace” operations on strings, or for input validation. From Wikipedia.