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What you'll learn?
- Basic theory of association rule mining
- Basic metrics of association rule mining
Course Overview
Welcome to the association rule mining course. This course is an introductory course. You will learn basic knowledge of association rule mining in this course.
Association rule mining is a useful technique to explore associations between variables. It contributes to effective cross-selling and has been applied to construct recommender system in EC sites. We can use it not only in marketing analytics but also other fields in business analytics.
This course intends to provide you with theoretical knowledge as well as python coding. Theoretical knowledge is important to understand the algorithm of data mining, and it can be a useful foundation for more advanced learning.
This course consists of 4 sections. In the first section, you will learn what an association rule is. In Session 2, you will learn the basic metrics of association rule mining. Session 3 covers apriori algorithm that is a useful method to identify important associations between variables. Session 4 is a Hands-On chapter, where you will learn how to implement association rule mining in Python.
I’m looking forward to seeing you in this course!
Source of Pictures:
Course Image: Gerd Altmann from Pixabay
PV:
- Beer: Hans Braxmeie from Pixabay
- Pretzel: Couleur from Pixabay
- Potatoes: RitaE from Pixabay
- Diaper: PublicDomainPictures from Pixabay
Pre-requisites
- Knowledge of Python. Novice level is OK.
Target Audience
- Beginners in association rule mining
Curriculum 23 Lectures 01:42:26
-
Section 1 : What is Association Rule Mining?
- Lecture 2 :
- What is Association Rule Mining?
- Lecture 3 :
- Comparison with Similar Methods
- Lecture 4 :
- Basic Terms
- Lecture 5 :
- Basic Math: Set Theory
- Lecture 6 :
- What is Association Rule Mining?
-
Section 2 : Basic Metrics
- Lecture 1 :
- Support
- Lecture 2 :
- Basic Math: Conditional Probability
- Lecture 3 :
- Confidence
- Lecture 4 :
- Lift
- Lecture 5 :
- Comprehension
- Lecture 6 :
- Summary
-
Section 3 : Apriori Algorithm
- Lecture 1 :
- The Role of Apriori Algorithm
- Lecture 2 :
- Apriori Principle
- Lecture 3 :
- Apriori Algorithm--Phase 1
- Lecture 4 :
- Apriori Algorithm--Phase 2
- Lecture 5 :
- Summary
- Lecture 6 :
- Apriori Algorithm
-
Section 4 : Market Basket Analysis with Python
- Lecture 1 :
- Dataset
- Lecture 2 :
- Data Preparation
- Lecture 3 :
- Basic Metrics
- Lecture 4 :
- Apriori Algorithm
-
Section 5 : Thank You!
- Lecture 1 :
- Thank You!
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