IJBTT

A Survey of Machine Learning Algorithms

	International Journal of Engineering Trends and Technology (IJETT)
	© 2020 by IJETT Journal
	Volume-68 Issue-4
	Year of Publication : 2020
	Authors : Jayakumar Sadhasivam, Arpit Rathore,Indrajit Bose, Soumya Bhattacharjee, Senthil Jayavel
	DOI :  10.14445/22315381/IJETT-V68I4P212S

Citation 

MLA Style: Jayakumar Sadhasivam, Arpit Rathore,Indrajit Bose, Soumya Bhattacharjee, Senthil Jayavel  "A Survey of Machine Learning Algorithms" International Journal of Engineering Trends and Technology 68.4(2020):64-71. 

APA Style:Jayakumar Sadhasivam, Arpit Rathore,Indrajit Bose, Soumya Bhattacharjee, Senthil Jayavel. A Survey of Machine Learning Algorithms  International Journal of Engineering Trends and Technology, 68(4),64-71.

Abstract
Today machine-learning algorithms provide an evident way to predict the assertive outcomes of different fields of datasets like healthcare, stock exchange, population statistics etc. In this research paper, we are reviewing these three supervised type machine-learning algorithms like Support Vector Machine (SVM), Random Forest and Naïve Bayes algorithms. Give our illustrative outlook on these algorithms.

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Keywords
Dataset, SVM, Random Forest, Naïve Bayes, Decision Tree, Training Dataset, Testing Dataset