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Classroom Contents
Predictive Analytics for Practitioners
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- 1 Intro
- 2 Technical Assistance
- 3 What do Predictive Modelers do? The CRISP-DM Process Model
- 4 CRISP-DM: Business Understanding Steps
- 5 Objective's
- 6 Data Understanding Steps
- 7 Source Data
- 8 Data Preparation (Conditioning) Steps
- 9 Data Size
- 10 Modeling Steps
- 11 Sampling
- 12 Classifiers Find Different Decision Boundaries
- 13 Assess Models: ROC Curves
- 14 CRISP-DM Step 6: Deployment Steps
- 15 Model Results after Deployment
- 16 What is Predictive Analytics? Simple Definitions
- 17 Predictive Analytics vs. Data Science
- 18 What Degree Does it Take to Be a Predictive Modeler?
- 19 The Analyst's Journey
