Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science
by Thomas W. Miller
Figures
1.1 Data and models for research
1.2 Training-and-Test Regimen for Model Evaluation
1.3 Training-and-Test Using Multi-fold Cross-validation
1.4 Training-and-Test with Bootstrap Resampling
1.5 Importance of Data Visualization: The Anscombe Quartet
2.1 Dodgers Attendance by Day of Week
2.2 Dodgers Attendance by Month
2.3 Dodgers Weather, Fireworks, and Attendance
2.4 Dodgers Attendance by Visiting Team
2.5 Regression Model Performance: Bobbleheads and Attendance
3.1 Spine Chart of Preferences for Mobile Communication Services
4.1 Market Basket Prevalence of Initial Grocery Items
4.2 Market Basket Prevalence of Grocery Items by Category
4.3 Market Basket Association Rules: Scatter Plot
4.4 Market Basket Association Rules: Matrix Bubble Chart ...
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