Assignment has two parts: Part A: Please work on the same Example ” filtering mobile phone spam with the Naive Bayes algorithm” (See Ch. 4 of Machine Learning with R – Second Edition, in pp. 103-124), using the same dataset (can be found at https://github.com/stedy/Machine-Learning-with-R-datasets/blob/master/sms_spam.csv) Follow the same five steps to get the same results as in the text. Give a good summary and conclusion of your findings with insight. Part B: Choose a different dataset (or use your own dataset, can find one from the same website or other website) or you are also allowed to use the data sets you used in previous assignments because this is a new method. Follow the same five steps to get similar results as in the text. Give a good summary and conclusion of your findings with insight. The project should have cover page, following APA format with at least 1000 words (excluding title page and references page) and references page. Please use subtitles to make your assignment reader friendly. References: Predictive Analytics Using R by Jeffrey Strickland (2014). Machine Learning with R Second Edition by Brett Lantz (2015). APA format https://owl.english.purdue.edu/owl/resource/560/01/
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