10.1 Kitchen sink model We can extend the lm(y~x) function to construct a more complicated “formula” for the multi-dimensional model: lm(y ~ x1 + x2 + ... + xn ). This tells R to find the best model ...

For example, you might want to predict an employee's salary based on age, height, years of experience, and so on. There are approximately a dozen common regression techniques. The most basic technique ...

Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

10.1 Kitchen sink model We can extend the lm (y~x) function to construct a more complicated “formula” for the multi-dimensional model: lm (y ~ x1 + x2 + ... + xn ). This tells R to find the best model ...