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
https://discoveredintelligence.ca/wp-content/uploads/2018/10/spam_analytics.jpg 346 346 Urwah Haq https://discoveredintelligence.ca/wp-content/uploads/2013/12/DI-Logo1-300x137.png Urwah Haq2018-10-16 17:44:082018-10-17 01:31:10Predict Spam Using Machine Learning Classification
https://discoveredintelligence.ca/wp-content/uploads/2017/11/Picture2.png 538 975 Urwah Haq https://discoveredintelligence.ca/wp-content/uploads/2013/12/DI-Logo1-300x137.png Urwah Haq2018-01-02 17:20:272018-05-07 18:21:28Getting 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
© Copyright 2018. Discovered Intelligence Inc.
From Our Blog
- Hey #SplunkLive Toronto attendees! We are pleased to offer a discount on our best selling #Splunk book, the Splunk… https://t.co/LFGF0NureL 2 months ago
- Today's the day! #SplunkLive! Toronto is here! Be sure to stop by the Discovered Intelligence booth and ask the tea… https://t.co/Eu4peqsuXO 2 months ago