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data collection , extraction , manipulation , processing, cleaning , modelling , visualization . ( Notes from Dr. Bryan Hammer , Professor, Oklahoma State University)

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.gitattributes

.gitattributes

 
 

.gitignore

.gitignore

 
 

README.md

README.md

 
 

Tutorial 01 and 03 - Data Derivation, Selection, ODBC (1).R

Tutorial 01 and 03 - Data Derivation, Selection, ODBC (1).R

 
 

Tutorial 02 - Data Derivation and Selection in Python.py

Tutorial 02 - Data Derivation and Selection in Python.py

 
 

Tutorial 04 - Descriptive Statistics in Python.py

Tutorial 04 - Descriptive Statistics in Python.py

 
 

Tutorial 05 - Clustering Example.R

Tutorial 05 - Clustering Example.R

 
 

Tutorial 05 - Data Reduction.R

Tutorial 05 - Data Reduction.R

 
 

Tutorial 06 - Data Reduction and Exploration in Python.py

Tutorial 06 - Data Reduction and Exploration in Python.py

 
 

Tutorial 07 - Classification Example.R

Tutorial 07 - Classification Example.R

 
 

Tutorial 08 - Classification in Python.py

Tutorial 08 - Classification in Python.py

 
 

Tutorial 09 - Multiple Regression.R

Tutorial 09 - Multiple Regression.R

 
 

Tutorial 10 - Regression in Python (1).py

Tutorial 10 - Regression in Python (1).py

 
 

Tutorial 11 - Regression with Categorical Data.R

Tutorial 11 - Regression with Categorical Data.R

 
 

Tutorial 12 - Regression with Categorical Data in Python.py

Tutorial 12 - Regression with Categorical Data in Python.py

 
 

Tutorial 13 - Time Series Analysis.R

Tutorial 13 - Time Series Analysis.R

 
 

Tutorial 14- Importing data into R.r

Tutorial 14- Importing data into R.r

 
 

tutorial15-data vizualization.txt

tutorial15-data vizualization.txt

 
 

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