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.

Seaborn is an easy-to-use data visualization library in Python. Installation is simple with PIP or Mamba, and importing datasets is effortless. Seaborn can quickly create histograms, scatter plots ...

Residual plots can be used to validate assumptions about the regression model. Figure 1: Residual plots are helpful in assessments of nonlinear trends and heteroscedasticity. A formal test of lack ...