Predictive Analytics Applications with WEKA is popular PDF and ePub book, written by Shuzlina Abdul Rahman & Sofianita Mutalib in 2021-01-01, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Predictive Analytics Applications with WEKA can be Read Online from any device for your convenience.
Predictive Analytics Applications with WEKA Book PDF Summary
This module offers a simple way yet interesting approach in applying data mining tools such as Waikato Environment for Knowledge Analysis (WEKA), an open source machine learning software. The practical hands-on of the tools and techniques for machine learning used in data mining is described step-by-step in five sub-modules. For each sub-module, a description about the topic is given for a better understanding. Inside, you'll learn about preparing the data, data cleaning, modelling, and results evaluation. The module ends by providing a check-list activity and common error that you may encounter. Three case studies are demonstrated from different sources of dataset using the features offered in WEKA. The module would be a good source for hands-on-introduction to machine learning algorithms with no extensive background in mathematic required. Predictive Analytics Applications with WEKA is an accessible introduction to this rapidly growing industry and suit for any students and researchers looking for a simple predictive analytics exercise.
Detail Book of Predictive Analytics Applications with WEKA PDF
- Author : Shuzlina Abdul Rahman & Sofianita Mutalib
- Release : 01 January 2021
- Publisher : Unknown
- ISBN : 9789672355038
- Genre : Computers
- Total Page : 74 pages
- Language : English
- PDF File Size : 16,9 Mb
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