Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

We have discussed the basis of linear regression as fitting a straight line through a plot of data. However, there may be circumstances where the relationship between the variables is non-linear (i.e.

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.

Further, we explored simple linear regression and multiple linear regression with examples using the SciKit-Learn library. We performed the same task with the statsmodels library and obtained the same ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.