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ML Studio
Title Page
Foreword: Why Data Science?
CRISP-DM: Data Mining Process
TechStack: The Technology Stack
Visualization: Theory and Dashboard Design
Tableau: Core Features
Tableau: Calculations and Clustering
Tableau: JavaScript API
Excel: Bivariate Relationships
Excel: Multivariate Prediction
ML Studio: Introduction
ML Studio: Selecting and Engineering Features
ML Studio: Selecting and Optimizing the Algorithm
Optimizing Model Fit: An Overview
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: Machine Learning
Supplement: Other Useful Azure Pills
Supplement: Python Data Analytics
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17.1
Clustering
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