Seaborn : Machine Learning: Basic to Advance with matplolib : with every concept examples by Karan Singh Bisht
English | 2022 | ISBN: N/A | ASIN: B09W2JM1ZM | 250 pages | EPUB | 2.04 Mb
MatDescriptionlib has proven to be an incredibly useful and popular visualization tool, but even avid users will admit it often leaves much to be desired. There are several valid complaints about MatDescriptionlib that often come up:Prior to version 2.0, MatDescriptionlib’s defaults are not exactly the best choices. It was based off of MATLAB circa 1999, and this often shows.MatDescriptionlib’s API is relatively low level. Doing sophisticated statistical visualization is possible, but often requires a lot of boilerplate code.MatDescriptionlib predated Pandas by more than a decade, and thus is not designed for use with Pandas DataFrames. In order to visualize data from a Pandas DataFrame, you must extract each Series and often concatenate them together into the right format. It would be nicer to have a Descriptionting library that can intelligently use the DataFrame labels in a Description.
An answer to these problems is Seaborn. Seaborn provides an API on top of MatDescriptionlib that offers sane choices for Description style and color defaults, defines simple high-level functions for common statistical Description types, and integrates with the functionality provided by Pandas DataFrames.
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