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Beginner to Advanced Guide on Machine Learning with R Tool
Rating: 3.4 out of 5(24 ratings)
380 students

Beginner to Advanced Guide on Machine Learning with R Tool

Learn Machine Learning with the help of R programming
Created byElementary Learners
Last updated 2/2019
English

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

Course content

7 sections • 38 lectures • 2h 9m total length

  • 1.1 Introduction to the Course2:12

    This video talks about a brief course description and tells you what to expect from this course. 

  • 1.2 Pre-Requisite0:40
  • 1.3 What you will Learn1:55

    This video tells an outline about what you will learn in subsequent sessions of the course. 

  • 1.4 Techniques of Machine Learning3:30

    In this lecture you will learn about the various techniques of Machine Learning. 

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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