This week we started exploring MATLAB.
Multivariate Linear Regression
We study about multiple features for linear regression. It’s necessary to use Feature Scaling for a better regression. Adjusting the Learning Rate is another key action.
Polynomial Regression is a more complex model type.
Parameters can be analytically computed using Normal Equation.
Beyond Basic Operations, Plotting Data is a good resource to understand models, learning curves, algorithm behaviour.
Vectorization is also a necessary technique to get good algorithm efficiency.