Machine Learning with R Programming

Learn machine and statistical learning using R Programming.

Machine Learning with R Programming

Learn machine and statistical learning using R Programming.
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About the Class

This is a bite-size course to learn R programming for machine learning and statistical learning. In the CRISP-DM data mining process, machine learning is at the modeling and evaluation stage.

What will you learn in this 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, and, neural network, linear regression, and evaluate your models very soon after learning the course.

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

Author

Svbook Pte Ltd

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,...

School

Svbook Pte Ltd 's School

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What's Included

Language: English
Level: Beginner
Skills: Coding, R Programming, Statistical Learning, Machine Learning
Age groups: 25-34 years
Duration: 1 hour 48 minutes
30 Videos
0
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