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A repository to hold various examples of performing data analysis and using statistics with python.

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OPEN ISSUE: Not all MathJax equations are rendered correctly when viewing notebooks directly on github. To correct this download the notebooks directly or alternatively use the links below to view them online using the nbviewer hosted at jupyter.org.



Logistic Regression (2017/11/17)

Jupyter notebook that implements logistic regression with a binary and three level categorical independent variable. Uses the packages matplotlib, pandas, scikit-learn, and statsmodels.

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Simulated Linear Regression (2017/10/02)

Jupyter notebook that shows how to perform linear regression on a simulated data set.
Uses the packages matplotlib, pandas, and numpy.

nbviewer

Introduction to Pandas (2017/10/05)

Jupyter notebook with a lightning introduction to the pandas package.

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A repository to hold various examples of performing data analysis and using statistics with python.

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