Machine Learning with R
4.0 (1 rating)
517 students enrolled

# Machine Learning with R

Machine Learning and Statistical Learning with R
4.0 (1 rating)
517 students enrolled
Created by SVBook Pte. Ltd.
Last updated 12/2018
English
Current price: \$139.99 Original price: \$199.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
• 2 hours on-demand video
• Access on mobile and TV
• Certificate of Completion
Training 5 or more people?

What you'll learn
• Machine Learning using R
Course content
Expand 30 lectures 01:48:33
+ Section
30 lectures 01:48:33
Preview 20:10
Preview 03:27
Getting Started 3
06:00
Preview 05:37
Preview 01:11
01:08
Some Explanations
04:04
Some Explanations 2
02:08
Simple Linear Regression
03:07
Build Linear Regression
00:43
Predict with Linear Regression
01:21
KMeans Clustering
03:05
KMeans Clustering in R
01:23
Agglomeration CLustering
03:45
Agglomeration CLustering in R
01:53
Decision Tree Algorithm: ID3
09:15
Decision Tree Algorithm: Split Train and Test set in R
02:51
Decision Tree ALgorithm: train ID3 tree
00:59
Decision Tree ALgorithm: predict ID3 tree
00:51
KNN Classification
03:50
KNN in R: train KNN
02:31
KNN in R: Predict
00:50
Naive Bayes ALgorithm
05:36
Naive Bayes in R
02:38
Neural Network
05:44
Neural Network in R
02:50
What Algorithm to Use?
01:35
Model Evaluation
03:44
Model Evaluation for Classification in R
04:18
Model Evaluation for Regression in R
01:59
Requirements
• Fundamentals R programming
Description

This is the bite size course to learn R Programming for Machine Learning and Statistical Learning. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage.

You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course.  You will learn R Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.

You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using R certificate :

- Create Your Calculator: Learn R Programming Basics Fast (R Basics)

- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)

- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)

- Machine Learning with R (Modeling and Evaluation)

Content

1. Getting Started

2. Getting Started 2

3. Getting Started 3

4. Data Mining Process

7. Some Explanations

8. Simple Linear Regression

9. Build Linear Regression Models

10. Predict Linear Regression Models

11. KMeans Clustering

12. KMeans Clustering in R

13. Agglomeration Clustering

14. Agglomeration Clustering in R

15. Decision Tree ID3 ALgorithm

16. Decision Tree in R: Split train and test set

17. Decision Tree in R: Train Decision Tree

18. Decision Tree in R: Predict Decision Tree

19. KNN Classification

20. Train KNN in R

21. Predict KNN in R

22. Naive Bayes Classification

23. Naive Bayes in R

24. Neural Network Classification

25. Neural Network in R

26. What Algorithm to Use?

27. Model Evaluation

28. Model Evaluation using R for Classification

29. Model Evaluation using R for Regression

Who this course is for:
• Beginner Data Scientist or Analyst interested in R programming