Logistic Regression – An Applied Approach Using Python
Logistic Regression – An Applied Approach Using Python
$19.95
The book is a showcase of logistic regression theory and application of statistical machine learning with Python. Topics include logit, probit, and complimentary log-log models with a binary target as well as multinomial regression. A section about contingency tables is also provided. Scikit-Learn and statsmodels are the two Python packages used to illustrate how to tune parameters for better fit and accuracy. For a quick view of the table of contents, click here.