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Supervised Learning in R: Classification

Intermediate
4.4+
27 reviews
Updated 04/2025
In this course you will learn the basics of machine learning for classification.
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RMachine Learning4 hours14 videos55 Exercises3,950 XP94,421Statement of Accomplishment

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Course Description

This beginner-level introduction to machine learning covers four of the most common classification algorithms. You will come away with a basic understanding of how each algorithm approaches a learning task, as well as learn the R functions needed to apply these tools to your own work.

Prerequisites

Intermediate R
1

k-Nearest Neighbors (kNN)

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2

Naive Bayes

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3

Logistic Regression

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4

Classification Trees

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Supervised Learning in R: Classification
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*4.4
from 27 reviews
67%
19%
7%
7%
0%
  • Hsu-Hsin C.
    3 months

    I learned a lot in a short amount of time, and for decades I didn’t believe I could ever learn to code. Really appreciate the amazing instructors

  • Marialisa S.
    about 1 year

    It has been a well-organized course. It have balanced in a proper way the theory with exercises, with a good mixing of case studies and specific examples.

  • Thomas M.
    about 1 year

    highly informative, well arranged and perfect didactics

  • Jan R.
    about 1 year

    Covers four different supervised learning methods in R, with the purpose of classification, that is, assigning observations (data) to an outcome class. Examples of datasets covered in exercises are: road signs, credit applicants, potential charity donors, smartphone location data.

  • Jessa G.
    over 1 year

    DataCamp is an online data science and programming learning platform that offers a wide range of courses that cover a variety of technical subjects, such as Python, R, SQL, Data Science, Machine Learning, and AI.The platform has a user-friendly interface, and the courses are designed to be interactive, with hands-on projects and exercises that allow learners to apply what they have learned. The courses are taught by experienced professionals, and they provide a combination of video lectures, interactive exercises, and coding challenges.The platform has a flexible subscription model, which allows learners to choose the courses they want to take and also offers a 30-day free trial.Overall, reviews of DataCamp is an excellent resource for anyone interested in learning data science and programming, and it is highly recommended for both beginners and experienced professionals.

"I learned a lot in a short amount of time, and for decades I didn’t believe I could ever learn to code. Really appreciate the amazing instructors"

Hsu-Hsin C.

"It has been a well-organized course. It have balanced in a proper way the theory with exercises, with a good mixing of case studies and specific examples."

Marialisa S.

"highly informative, well arranged and perfect didactics"

Thomas M.

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