Learn about how the traditional bag of words model serves to convert input from a textual to numeric format for machine learning.

Learn about the intuition behind and implementation of polynomial regression in Python.

Learn about the mean squared error cost function, a mathematical formula that helps machine learning models evaluate the accuracy of their data representation.

Learn about the implementation behind and the intuition of multiple linear regression in Python.

Learn about gradient descent, an algorithm designed to help machine learning models efficiently converge on optimal parameter values.

Learn about the implementation behind and the intuition of simple linear regression in Python.