graph_from_dot_data() function on the Linear regression is used to predict a continuous numeric value from a set of input features. This machine learning algorithm is fundamental to statisticians when it comes to predicting numeric outcomes. Although advanced algorithms such as neural networks and deep learning have taken the place of linear regression in modern times, the algorithm is still key when it comes to providing you with the foundations for neural networks and deep learning.
The key benefit of building machine learning models with the linear regression algorithm, as opposed to neural networks and deep learning, is that it is highly interpretable. Interpretability helps you, as the machine learning practitioner, to understand how the different input variables behave when it comes to predicting output.
The linear regression...