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Development Data Science Machine Learning

Machine Learning with R

Machine Learning and Statistical Learning with R
Rating: 2.5 out of 52.5 (2 ratings)
521 students
Created by Eric Goh Ming Hui
Last updated 12/2018
English
30-Day Money-Back Guarantee

What you'll learn

  • Machine Learning using R

Course content

1 section • 30 lectures • 1h 48m total length

  • Preview20:10
  • Preview03:27
  • Getting Started 3
    06:00
  • Preview05:37
  • Preview01:11
  • Read dataset
    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

  5. Download Data set

  6. Read Data set

  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

Instructor

Eric Goh Ming Hui
Offer affordable data science courses.
Eric Goh Ming Hui
  • 3.0 Instructor Rating
  • 234 Reviews
  • 13,350 Students
  • 29 Courses

SVBook Pte. Ltd. started in April 2016. SVBook Pte. Ltd. offers affordable, easy to read Data Mining, Text Mining, Data Analytics, Programming books for professional and lifelong learning. SVBook Pte. Ltd. offers courses at EMHAcademy. SVBook Pte. Ltd. developed softwares over the time, and uploaded them at DSTK.Tech. SVBook Pte. Ltd. courses, books and softwares assists people to step into new fields of Data Science, Internet of Things, Smart Cities and etc. before going into more advanced courses at Coursera and EdX, which are at University Level.

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