Scatter plots and line graphs are essential visualization tools in Machine Learning. Scatter plots display data points on a Cartesian plane, revealing patterns, correlations, and outliers in datasets. Line graphs connect data points with a line, illustrating trends and changes over time. These visualizations are vital for understanding relationships between variables and evaluating model performance.