Explore the statsmodels library, a tool that allows data analysts to perform linear regression with familiar R syntax and get detailed results. The power of statsmodels in statistical analysis Python ...

It is built to work with Pandas dataframes, uses SciPy, statsmodels and pingouin under the hood, and runs diagnostic tests for testing assumptions while plotting figures with matplotlib and seaborn.

The obvious choice is often wrong. by Bart de Langhe, Stefano Puntoni and Richard Larrick Test yourself with this word problem: Imagine you’re responsible for your company’s car fleet. You manage two ...

Machine learning model for projecting NFL wide receiver touchdowns using linear regression. Features engineered red zone and rolling averages, trained with temporal splits, and evaluated with ...

Test: Machine predicts Y from unlabeled test set Note: f(x) can be derived through matrices to perform least square linear regression. However this beyond the scope of this tutorial, if you'd like to ...