Machine Learning with R: A-Z Course (Version 4.6)

Machine Learning with R: A-Z Course (Version 4.6)

What you’ll learn

  • UNDERSTANDING Analytics definition and application
  • LEARN the concept of programming in R from its core
  • GAIN the understanding to use machine learning techniques to solve the problems of real life
  • ACQUIRE the knowledge to convert business concerns into machine learning problems.
  • COMPREHEND the use of R in data analysis
  • LEARN the usage of R in data science
  • UNDERSTAND data mining, statistics and machine learning
  • LEARN the concept and the difference between supervised and unsupervised learning
  • ACQUIRE the knowledge to import and export data
  • GET the knowledge of different data types and data structures
  • LEARN to handle packages and subsetting data in R
  • ACQUIRE the skill of how to create a loop and if-else statement
  • LEARN the concept of missing values in R
  • COMPREHEND the basics of statistics and Machine Learning
  • UNDERSTAND data manipulation in R using dplyr
  • LEARN aggregate and table commands
  • BECOME proficient in summarizing the data graphically
  • GRASP the concept of regression
  • MASTER the concept of decision tree
  • LEARN about cluster analysis in detail
  • FAMILIARISE with the concept of association rule analysis

Who this course is for:

  • Students
  • Executives from any industry
  • IT professionals
  • Professors from the institutes
  • Statistician
  • Any who has wants to learn Machine learning
  • Anyone who wants a rewarding career as a data scientist

How to Enroll Machine Learning with R: A-Z Course (Version 4.6) course?

  • To Access "Machine Learning with R: A-Z Course (Version 4.6)" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
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  • How many members can access this course with a coupon?

    Machine Learning with R: A-Z Course (Version 4.6) Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

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