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 ...

To minimize the error, we need to minimize the Linear Regression Cost Function. Lesser the cost function, better the learning, more accurate will be the predictions.

Compared to basic linear regression, linear regression with interactions can handle more complex data. Compared to other regression techniques that are designed to handle complex data, such as kernel ...

Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

Linear regression algorithms fit a straight line, or another function that is linear in its parameters such as a polynomial, to numeric data, typically by performing matrix inversions to minimize ...

The story behind Dobbins’ strong 2020 finish lies in his touchdown production. In Weeks 11-17, Dobbins found the end zone seven times, more than doubling the linear regression prediction of 3.37 ...