Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

The Data Science Lab. Multi-Class Classification Using LightGBM. Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM ...

It shows a 100-item subset of the raw data, with just the units-completed and test score predictor variables. Notice the data is not linearly separable so simple classification techniques such as ...