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Machine Learning with R (Udemy.com)

Machine Learning and Statistical Learning with R

2.0

Created by: EGMHAcademy EGMHAcademy

Last updated December 2018

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Course 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

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Instructor Details

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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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Reviews

2.0

4 ratings on Udemy

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By Antônio Fernando Soares de Sousa Junior

GOSTARIA DE FAZER OUTRO CURSO ESPECÍFICO DESSE NOVAMENTE DE MODO MAIS AVANÇADO.

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Overall Score : 40 / 100