learning from data

Regression models vs classification models - Regression - deals with outputs that are continuous values - any value in the range of certain values - has discrete values ​Classification - deals with categorzing each result into a category Convergence - the point at which the model reaches it's optimum performance, cause even if you train the model with more data after this point, there's no point…