Association Rules Analysis
Completed by kusumesh mathukumilli
July 12, 2025
22 hours (approximately)
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What you will 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.
Skills you will gain
- Category: Data Mining
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Unsupervised Learning
- Category: Algorithms
- Category: Machine Learning Methods
- Category: Anomaly Detection
- Category: Correlation Analysis
- Category: Applied Machine Learning
- Category: Data Analysis
