Beginner to Advanced Guide on Machine Learning with R Tool

Learn Machine Learning with the help of R programming

2.85 (24 reviews)
Udemy
platform
English
language
Data Science
category
Beginner to Advanced Guide on Machine Learning with R Tool
379
students
2 hours
content
Feb 2019
last update
$19.99
regular price

What you will learn

Master Machine Learning

Regression modelling

knn algorithm

naive bayes algorithm

BPN(Back Propagation Network)

SVM(Support Vector Machine)

Decision Tree

Forecasting

Why take this course?

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.


Reviews

Eshwar
January 27, 2018
R experience needed like said in introduction. I just wanted an overview and quick example of each type of machine learning, and this gives just that. This course is a great starting point to explore machine learning. You will still need to do a lot on your own after this course to go in dept into the algorithms.
First
August 18, 2017
This course does a pretty good job introducing and showing examples of various topics. Some examples don't work as given without minor tweaks. My biggest criticism is that there is no instruction on how to interpret the results of the models.
Cliff
June 13, 2017
The explanations and visualizations were to brief for me to really learn what the code is doing. If the explanations were more thorough, I would be benefited more from this course.
Ram
April 24, 2017
I am still going through this course so I will update the review once I finish the course. The content is good but some of the explanations are not clear and leads to questions. Unfortunately instructor does not seem to be answering questions. Some questions are pending for more than 9 days. Plus we can't try out the samples as he has not shared the code nor the data files for us to practice. So kind of struck. Hope those issues gets fixed so one can get better usage of the good content.

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1074688
udemy ID
1/13/2017
course created date
11/21/2019
course indexed date
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