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Workshop on how behavioral scientists can benefit from data analytics and how data scientists can benefit from behavior science

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1. Introduction and orientation

1. Introduction and orientation

 
 

2. Data Visualization

2. Data Visualization

 
 

3. Data Reduction

3. Data Reduction

 
 

4. Hierarchical linear models

4. Hierarchical linear models

 
 

5. Overview of machine learning

5. Overview of machine learning

 
 

6. Implementing ML

6. Implementing ML

 
 

7. Survey of ML

7. Survey of ML

 
 

BDA_Exercise_Notebook_files

BDA_Exercise_Notebook_files

 
 

.gitignore

.gitignore

 
 

BDA_Exercise_Notebook.Rmd

BDA_Exercise_Notebook.Rmd

 
 

BDA_Exercise_Notebook.nb.html

BDA_Exercise_Notebook.nb.html

 
 

BDA_caret and cancer LB.Rmd

BDA_caret and cancer LB.Rmd

 
 

BDA_caret and cancer LB.nb.html

BDA_caret and cancer LB.nb.html

 
 

HFES_BDA_R_Code.Rproj

HFES_BDA_R_Code.Rproj

 
 

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Icon

 
 

winequality-red.csv

winequality-red.csv

 
 

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Workshop on how behavioral scientists can benefit from data analytics and how data scientists can benefit from behavior science

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