sarajcev/logreg-linreg

Logistic and Linear Regression in Python using: Seaborn, Statsmodels, and Scikit-learn

logreg-linreg

Logistic and Linear Regression in Python

Performing logistic regression in Python using:

• regplot function from the seaborn library
• GLM (Generalized Linear Models) with Binomial family and Logit (default) link from the statsmodels library
• Logit function from the statsmodels library
• LogisticRegression from the scikit-learn library

Bootstrap method application is demonstrated for the purpose of estimating confidence intervals on logistic regression coefficients and predictions.

Performing linear regression in Python using:

• regplot function from the seaborn library
• OLS (Ordinary Least Squares) from the statsmodels library
• LinearRegression from the scikit-learn library

Bootstrap method application is demonstrated for the purpose of estimating confidence intervals on linear regression coefficients and predictions.

HTML offprint of the Jupyter Notebook can be viewed here.