Beginner to Advanced Guide on Machine Learning with R Tool
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Description
Filesize : 280.19 MB
What you’ll learn
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Master Machine Learning
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Regression modelling
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knn algorithm
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naive bayes algorithm
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BPN(Back Propagation Network)
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SVM(Support Vector Machine)
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Decision Tree
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Forecasting
Requirements
R programming
R studio should be installed already
Basic knowledge of programming
Basic knowledge of mathematics
Description
Inspired 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.
The 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:
Freshers
Professionals
Anyone interested in machine learning
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