Beginner to Advanced Guide on Machine Learning with R Tool – Elementary Learners

Unlock Expert Knowledge: Discover the Premium Beginner to Advanced Guide on Machine Learning with R Tool – Elementary Learners Course Exclusively at GBESY. Elevate your skills and achieve career success by learning from world-renowned instructors and industry experts through our extensive library of premium self-paced courses.

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$199.99   $30 – Beginner to Advanced Guide on Machine Learning with R Tool – Elementary Learners

What you’ll learn

• Master Machine Learning
• Regression modelling
• knn algorithm
• naive bayes algorithm
• BPN(Back Propagation Network)
• SVM(Support Vector Machine)
• Decision Tree
• Forecasting

• Requirements

• R programming
• R studio should be installed already
• Basic knowledge of programming
• Basic knowledge of mathematics

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

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.

$199.99   $30 – Beginner to Advanced Guide on Machine Learning with R Tool – Elementary Learners

Unlock Expert Knowledge with the Beginner to Advanced Guide on Machine Learning with R Tool – Elementary Learners Course on GBESY.

Access over 70,000 premium learning programs curated by leading experts and renowned authors at GBESY. Our Beginner to Advanced Guide on Machine Learning with R Tool – Elementary Learners course provides actionable knowledge and real-world skills through:

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