Machine Learning, Regression, Data Science, Algorithms.
are linear relationships between the variables in the dataset. Pros Quick to compute and can be updated easily with new data Relatively easy to understand and explain Regularization techniques can be used to prevent overfitting Cons Unable to learn complex relationships Difficult to capture