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.