How important is data visualization in machine learning?
Data visualization is crucial in machine learning as it helps in understanding data patterns, trends, and anomalies.
Can you give me some examples of data visualization techniques used in ML?
Sure! Common techniques include scatter plots, heatmaps, and bar charts, which help visualize relationships and distributions.
How does data visualization aid in model selection?
It allows you to compare model performance visually, making it easier to identify which model fits the data best.
What tools can I use for data visualization in machine learning?
Popular tools include Matplotlib, Seaborn, and Tableau, each offering unique features for visualizing data.
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