Prediction intervals are commonly used for linear models but are often underused for random forests. Leveraging the fact that a random forest can provide a conditional distribution instead of just the conditional mean makes prediction intervals relatively straightforward to use in this context.
Read it!Engaging in a battle against pigeons using OpenCV and a water gun. Spoiler: No pigeons were harmed.
Read it!A list of 20 tips for great data visualization, including "Always start a bar chart at a 0 baseline" and ""Pick a color palette that matches the nature of your data".
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