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Alteryx advanced certification help
·
Module 10
Unsupervised Learning: Customer Segmentation
1
Unlocking Hidden Patterns: Clustering Use Cases
Explain the use cases for clustering as an unsupervised learning technique.
2
Data Preparation for Clustering
Prepare data for clustering by selecting appropriate fields and applying scaling.
3
K-Means Clustering with K-Centroids
Build a K-Means clustering model using the K-Centroids Cluster Analysis tool.
4
Assessing Cluster Quality and Number
Evaluate cluster quality and determine an appropriate number of clusters.
5
From Clusters to Personas: Building Business Value
Interpret cluster profiles to create business-relevant segment personas.
6
Appending Data to Clusters
Use the Append Cluster tool to assign new data points to existing clusters.
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Predictive Modeling: Classification
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Workflow Optimization and Management