In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Your modeling efforts are going to be fruitless. This catch is not specific to linear regression. It applies to any machine learning model in any domain — if the features available aren’t ...

Machine learning ... has to be transparent. These models include linear and decision/regression tree models. On the other hand, black-box models, such as deep-learning (deep neural network ...

including linear, polynomial, logarithmic, and exponential. You can also configure the chart to display the parameters of your machine learning model, which you can use to predict the outcome of ...

In the field of machine ... For model summaries, we introduce a novel R package, centered on performance measures and interpretation methods. The package draws inspiration from the summary method for ...