Scatter plots use dots in two dimensions to show how much one variable is affected by another or the relationship between them. Scatter plots are similar to line graphs in that they plot data points using horizontal and vertical axes.
Scatter plots are one of the most widely used plots for simple data visualisation in Machine Learning/Data Science. This graph shows where each point in the entire dataset is present in relation to any two-thirds feature (Columns). Scatter plots are offered in two dimensions: two-dimensional and three-dimensional.
Matplotlib is one of the most widely used and oldest Python plotting libraries for Machine Learning. Machine learning aids in the comprehension of large amounts of data through various visualisations.
Graphs can be used in machine learning to provide a visual representation of data. They are also used to help in the process of finding patterns and relationships between different variables.