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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: ...
This project implements a basic linear regression model using synthetic data. It demonstrates the steps of generating data, splitting it into training and testing sets, training a model, evaluating ...
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.
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