What are some common visualization techniques in machine learning?
An example of an AI chatbot conversation about visualization techniques in machine learning.
What are some common visualization techniques in machine learning?
Some common visualization techniques in ML include scatter plots, heatmaps, and decision trees. Would you like to know more about any specific technique?
Can you explain how scatter plots are used in ML?
Scatter plots are used to visualize the relationship between two variables. They help identify patterns, trends, and outliers in data.
What about heatmaps? How do they work?
Heatmaps display data values in a matrix format, using color to represent different values. They're great for visualizing correlations.
Are there any other techniques I should know about?
Yes, other techniques include bar charts, line graphs, and PCA plots. Each serves a unique purpose in data analysis.
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