Association Rules Analysis
Completed by SHABEER KHAN P P
July 25, 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: Anomaly Detection
- Category: Correlation Analysis
- Category: Machine Learning Methods
- Category: Algorithms
- Category: Data Preprocessing
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Data Analysis
