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Application of Classification Algorithms 

  • Offered byGreat Learning

Application of Classification Algorithms
 at 
Great Learning 
Overview

Duration

1 hour

Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Application of Classification Algorithms
 at 
Great Learning 
Highlights

  • Earn a certificate of completion
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Application of Classification Algorithms
 at 
Great Learning 
Course details

What are the course deliverables?
  • Supervised Learning
  • Logistic Regression
  • Support Vector Machine
  • K-Nearest Neighbors
  • Naive Bayes
  • Decision Tree
More about this course
  • The Classification algorithm is a Supervised Learning technique that is used to identify the category of new observations on the basis of training data
  • In Classification, a program learns from the given dataset or observations and then classifies new observation into a number of classes or group
  • In this video you will learn about comparison between some of the most common and popular classification algorithms and see the factors that lead to comparison
  • You will also, see how to evaluate each and every algorithm?s performance based on a case study and finally summarize everything

Application of Classification Algorithms
 at 
Great Learning 
Curriculum

Naive Bayes

Logistic Regression

Decision Tree

Random Forest

Introduction to Hive Hands-On

Support Vector Machines

Parameters For Comparison

Promotion Problem Statement

Preprocessing Data

K Nearest Neighbours

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Application of Classification Algorithms
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