Machine Learning, Artificial Intelligence, Data Science, Heartbreak, Linear Regression.
features plus a bias term. The idea behind this method is to explain the relationship between the label and one or more features. But adding more features to our data increases the complexity of the model. We introduce more variance which means changes to the training data would have a greater