Linear Regression Tutorial in Python

Linear regression is the fundamental starting point for all regression methods. In this Jupyter Notebook, we fit a regression model in Python and take a closer look at the following topics:

• Histogramms
• Boxplots
• Mean
• Standard deviation
• Mean squared error
• $R^2$
• Pearson’s correlation coefficient
• F-Statistic
• Standard error
• Confidence interval

Download the linear regression tutorial Jupyter Notebook in GitHub and open the file in Jupyter Notebook.