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Missing values
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Classroom Contents
Prepping Data for Analysis in R
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- 1 Intro
- 2 Agenda
- 3 Workshop Overview
- 4 Data Preparation
- 5 Typical Data Problems
- 6 Example
- 7 We are dead values
- 8 Identifying missing values
- 9 Alternative approaches
- 10 Missing values
- 11 Pragmatic solution
- 12 Novel categorical levels
- 13 Training data
- 14 Problem statement
- 15 Capital categorical variables
- 16 Btree solution
- 17 Categorical variables
- 18 Using impact
- 19 Equity
- 20 Indicator Variables
- 21 Example Package
- 22 Treatment Path
- 23 Treatment Plan
- 24 Model Quality
- 25 Variable Treatment
- 26 Bad Days
