20 Types of Machine Learning Visualizations Explained in Plain English
Discussing their use cases and explanations with graphical visualizations
Note: This article expands my previous article, 10 Amazing Machine Learning Visualizations You Should Know in 2023 with newly added elements, and also with a different approach. Some content has been directly obtained from that article for the completeness of this one.
Machine learning visualizations are a special collection of plots that can be used for hyperparameter tuning, evaluating model performance, validating model assumptions, dimensionality reduction, feature selection, identifying patterns and correlations between features, identifying clusters in the data, outlier detection, and much more!
In some contexts, machine learning visualizations are referred to as machine learning plots.
Today, you will learn the following types of machine learning visualizations with their use cases and explanations. Additional resources will also be provided for all visualizations to learn how to create them with Python libraries and how they are used with machine learning algorithms.
Machine Learning Visualizations
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01. Cumulative Explained Variance Plot
02. Scree Plot
03…