Machine LearningLesson 7Free preview

ML Scatter Plots

This lesson is part of A.I. · All levels

Summary

A scatter plot displays data as dots on a field of coordinates to see the relationship between two variables. The dot pattern helps us guess whether there's a positive correlation, a negative correlation, or no correlation at all. In ML, scatter plots are used to explore data before choosing a model.

Key points

The scatter plot uses the x-axis and y-axis for the two comparing features.
The upward pattern to the right indicates a positive correlation.
The pattern down to the right indicates a negative correlation.
A randomly spread dot indicates almost no connection.
It's very useful to check the correlation of features before training the model.

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