Machine Learning Visualizations by@zemaarij

Visualization is an important part of data exploration for machine learning and data science. There are generally four kinds of visualizations to explore data in machine learning. Relational visualization is the visualization that shows the correlation of two or more features in a dataset. The scatter plot is the most common method used to observe this visualization. The box chart is also useful to detect outliers that are eliminated to clean the data for improving accuracy.

Visualization is an important part of data exploration for machine learning and data science.

There are generally four kinds of visualizations to explore data in machine learning.

(1) Relational Visualization

(2) Distributional Visualization

(3) Comparative Visualization

(4) Compositional Visualization

Relational Visualization:

Relationship visualization or relational visualization is the visualization that shows the correlation of two or more features in a dataset. In other words, it gives us an understanding of what happens to a ...