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Association Mining for Machine Learning
Rating: 4.4 out of 5(34 ratings)
2,961 students

Association Mining for Machine Learning

Simplified Way to Learn
Created byParteek Bhatia
Last updated 1/2021
English

What you'll learn

  • Association Mining
  • Naive Algorithm
  • Apriori Algoorithm

Course content

3 sections • 11 lectures • 1h 48m total length

  • Association Mining: Concepts and Applications10:31
  • Support and Confidence12:35

    Learn how to compute support and confidence from a transaction database, interpret X and Y rules, and apply practical examples in association mining.

  • Concept of Lift10:09
  • Assignment for Support, Confidence and Lift10:38

Requirements

  • No

Description

This course covers the working Principle of Association Mining and its various concepts like Support, Confidence, and Life in a very simplified manner. This course discusses about Naive Algorithm and Apriori Algorithm for finding Association Mining rules by taking lot of examples. All of these algorithms has been explained by taking working examples.


Who this course is for:

  • Students taking Machine Learning or Data Mining Course
  • Machine Learning Enthusiast
  • Students preparing for placement tests and interviews

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