Association Rules Analysis
Association Rules Analysis
This course is part of Data Analysis with Python Specialization
Instructor: Di Wu
Access provided by Universitas Indonesia
2,456 already enrolled
4.8
(12 reviews)
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Understand the principles and significance of unsupervised learning methods, specifically association rules and outlier detection
Grasp the concepts and applications of frequent patterns and association rules in discovering interesting relationships between items.
Apply various outlier detection methods, including statistical and distance-based approaches, to identify anomalous data points.
Details to know
Shareable certificate
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Taught in English
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This course is part of the Data Analysis with Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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