I have completed the four-part seminar series on linear models. The four video lectures cover simple linear regression, one-way analysis of variance, one-way analysis of covariance, and binary logistic regression.
I term these the four fundamental model types. Understanding these model types form the basis for understanding more complex models.
I use Python and the statsmodels and plotly packages to explain all the relevant aspects of linear models. I cover data types, least squares, sum of squared errors, the F ratio, coefficients, standard errors, confidence intervals, and much more. No stone is left unturned. Not only will you learn about all these concepts, but you will also learn how easy it is to create these models in Python.
The video tutorials are available by clicking on the links below.