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Supervised Learning in R: Classification

IntermediateSkill Level
4.6+
31 reviews
Updated 01/2025
In this course you will learn the basics of machine learning for classification.
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RMachine Learning4 hours14 videos55 Exercises3,950 XP95,369Statement 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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Don’t just take our word for it

*4.6
from 31 reviews
77%
16%
3%
3%
0%
  • n134320012
    10 days

  • Sourav
    12 days

  • Fahima
    16 days

  • Erik Guadalupe
    25 days

    Muy interisante y profundo dentro de R

  • EMILIO
    28 days

    Muy interesante y aplicado

  • ZEYNEP
    28 days

n134320012

Sourav

Fahima

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