In this project, I implement Logistic Regression algorithm with Python. I build a classifier to predict whether ... model requires the dependent variable to be binary, multinomial or ordinal in nature ...

Host and manage packages Security Find and fix vulnerabilities ...

In statistics and machine learning, ordinal regression is a variant of regression models that normally gets utilized when the data has an ordinal variable. Ordinal variable means a type of variable ...

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you ...

Abstract: The article introduces ordinal logistic regression as an alternative method for modelling the relationship between predictor variables and job satisfaction. It emphasizes the importance of ...

Nominal and ordinal logistic regression models were used to analyze the impact of several predictors on the main variable of interest. We compare the two models in terms of the likelihood ratio test ...