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• Archive: What you'll learnMaster Machine LearningRegression modellingknn algorithmnaive bayes algorithmBPN(Back Propagation Network)SVM(Support Vector Machine)Decision TreeForecastingRequirementsR programmingR studio should be installed alreadyBasic knowledge of programmingBasic knowledge of mathematicsThe topic of Machine Learning is getting exceptionally hot these days in light of the fact that these learning algorithms can be utilized as a part of a few fields from software engineering to venture managing an account.
• Students, at the end of this course, will be technically sound in the basics and the advanced concepts of Machine Learning.Who this course is for:FreshersProfessionalsAnyone interested in machine learningDescriptionInspired by the field of Machine Learning?
• Then this course is for you!This course is intended for both freshers and experienced hoping to make the bounce to Data Science.R is a statistical programming language which provides tools to analyze data and for creating high-level graphics.