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Spam

Predict Spam Using Machine Learning Classification

­­In this blog we will use a classification approach for predicting Spam messages. A classification approach categorizes your observations/events in discrete groups which explain the relationship between explanatory and dependent variables which are your field(s) to predict. Some examples of where you can apply classification in business projects are: categorizing claims to identify fraudulent behaviour,  predicting best retail location for new stores, pattern recognition and predicting spam messages via email or text. Read more

Getting Started With Splunk’s Machine Learning Toolkit

The Splunk Machine Learning Toolkit (MLTK) assists in applying machine learning techniques and methods against your data. This article discusses how to get started with the MLTK including installation and some initial testing and examples. Read more