In this use of the method, the model learns from labeled data (a training dataset), fits the most suitable linear regression (the best fit line) and predicts new datasets. The general principle and ...

Linear regression is an excellent place to start when using machine learning to predict numbers. Combined with relevant features, it’s a slam dunk. Related content ...

Oftentimes however, in any given dataset, the relationship between two variables are not directly proportional, and therefore cannot be derived by linear regression. In machine learning, typically ...

The main topics covered in this course include: advanced regression techniques, resampling methods, model selection and regularization, classification models (logistic regression, Naive Bayes, ...