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Association Mining for Machine Learning

  • Simplified Way to Learn
  • Free tutorial
  • Rating: 4.3 out of 54.3 (31 ratings)
  • 2,494 students
  • 1hr 48min of on-demand video
  • Created by Parteek Bhatia
  • English

What you’ll learn

  • Association Mining
  • Naive Algorithm
  • Apriori Algoorithm

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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Course content

3 sections • 11 lectures • 1h 48m total lengthCollapse all sections

Association Mining4 lectures • 44min

  • Association Mining: Concepts and Applications10:31
  • Support and Confidence12:35
  • Concept of Lift10:09
  • Assignment for Support, Confidence and Lift10:38

Naive Algorithm for Association Mining2 lectures • 24min

  • Approaches for Transaction Database Storage07:28
  • Naive Algorithm16:31

Apriori Algorithm for Association Mining5 lectures • 40min

  • Apriori Algorithm: Part-106:06
  • Apriori Algorithm: Part-217:50
  • Apriori Algorithm: Part-304:23
  • Apriori Algorithm: Another Example12:02
  • Improving Apriori Algorithm by Pruning Candidate Item Sets: Part-100:01

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