Linear_regression_tutorial
First something about training the data
- Training set –> learning algorithm –> hypothesis –> estimated data
- And we will use multiple features.
What is linear regression
- To say the idea in normal, we will have n feature
- And what we are going to do is to observe them and suppose that they should be in a linear method.
- And we should develop a way to find out the parameter to suit the hypothesis function.