Association Rules Analysis
Completed by Rodrigo Alvarado Cantú
July 19, 2024
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: Correlation Analysis
- Category: Feature Engineering
- Category: Unsupervised Learning
- Category: Anomaly Detection
- Category: Algorithms
- Category: Data Mining
- Category: Data Analysis
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Machine Learning Methods
