A plotting graph is a type of data visualization that can help us understand complex data sets. It helps us to see how the data is organized and whether the trends are linear or non-linear.
A plotting graph is useful for visualizing large amounts of data that are represented in a scatter plot. It can also be used to visualize data when we want to show trends over time, such as changes in sales over time or changes in temperature over time.
A plot graph is a visual representation of how machine learning algorithms work. The plot graph has a line that represents the input and another line that represents the output, with different colors representing different stages of the learning process. The input line is always represented in green and it's followed by an orange line for the first hidden layer of the model, then blue for the second hidden layer, and finally red for the output layer.
The best tool for generating graphs in machine learning is an R-package called ggraph. It is used by the most popular libraries like ggplot2 and d3.