Subject Code : NIT3202
Country : Australia
Assignment Task:

Objectives:
• To apply skills and knowledge acquired throughout the semester in classification algorithms and machine learning process. 
• To rationalize the use of machine learning algorithms to effectively and efficiently process of data in big size. 
• To demonstrate the ability to use R to perform email classification tasks that are common for corporate security analyst. 
• To scientifically conduct and document machine learning experiments for analytics purposes.

Submission instructions:

You must submit an electronic copy of all your assignment files via VU Collaborate Dropbox. You must include both your report and put your source files as appendix inside your report document. Assignments will not be accepted through any other manner of submission. Students should note that email and paper-based submissions will ordinarily be rejected.

Problem Statement:

This is an individual assessment task. Each student is required to submit a report of approximately 2,000-2,500 words along with exhibits to support findings with respect to the provided spam and non-spam messages. This report should consist of:
 
• Overview of classifiers and evaluation metrics 
• Construction of data sets, identification of features and the process of conducting classification 
• Technical findings of experiment results 
• Justified discussion of the performance evaluation outcomes for different classifiers


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  • Uploaded By : Alex Cerry
  • Posted on : February 10th, 2019
  • Downloads : 168

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