We have come a long way in the Machine Learning for dummies series. First, we explored what Machine Learning is, then we dived into the concepts of Supervised and Unsupervised Learning concepts. We saw what Linear Regression is and the basic error concepts like Mean Absolute Error, Relative Error, Root Mean Square Error. We also explored the Ordinary Least Square Technique and Coefficient of Determination. In the last video, we explored what a Cost Function is.
In this video, we will see what a Gradient Descent is in the context of Linear Regression and how this can be used to build an efficient Machine Learning Model.