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ML Studio
Title Page
Forward: Why data science?
Overview: The Business Intelligence (BI) Stack
Dashboards: Theory and Design
Tableau: Core Features
Tableau: Calculations, Forecasting, and Clustering
Tableau: JavaScript API
Excel: Bivariate Relationships
Excel: Multivariate Prediction
CRISP-DM: Data Mining Process
ML Studio: Introduction to Preprocessing and Modeling
ML Studio: Selecting Features/Variables
ML Studio: Selecting the Algorithm
ML Studio: Text Analytics
ML Studio: Matchbox Recommender
ML Studio: Anomaly Detection
ML Studio: Clustering
Privacy: Information Privacy
Project: Putting it all together
Supplement: Reading data with SQL
Supplement: Cross-Topic Examples
Supplement: Machine Learning
Supplement: Other Useful Azure Tools
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16.1
Clustering
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