Visualisation: The script includes functions for plotting the original data and the regression line (plot_data_and_regression), as well as visualising residuals (plot_residuals). Statistical Analysis: ...

1.Linear Regression The linear regression model is trained on the following features: bedrooms, bathrooms, sqft_living, sqft_lot, floors, waterfront, view, condition, sqft_above, and sqft_basement.

8.3. Regression diagnostics¶. Like R, Statsmodels exposes the residuals. That is, keeps an array containing the difference between the observed values Y and the values predicted by the linear model. A ...

Example 55.4: Displaying Plots for Simple Linear Regression This example introduces the basic PROC REG graphics syntax used to produce a standard plot of data from the aerobic fitness data set ...

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.