September 2018
Intermediate to advanced
472 pages
12h 2m
English
book
Python Data Science Essentials - Third Edition
by Alberto Boschetti, Luca Massaron, Pietro Marinelli, Matteo Malosetti
Content preview from Python Data Science Essentials - Third Edition
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Gradient Boosting Trees partial dependence plotting
The estimate of the importance of a feature is a piece of information that can help you operate on the best choices to determine the features to be used. Sometimes, you may need to understand better why a variable is important in predicting a certain outcome. Gradient Boosting Trees, by controlling the effect of all the other variables involved in the analysis, provide you with a clear point of view of the relationship of a variable with respect to the predicted results. Such information can provide you with more insights into causation dynamics than what you may have obtained by using a very effective EDA:
In: from sklearn.ensemble.partial_dependence import plot_partial_dependence from ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.