In the PCA section there is the following quote:

We see that these 150 components account for just over 90% of the variance.

While not inaccurate (150 componen

ML tasks often require comparison of train and test datasets. It It would be nice to see description of two datasets in one report

Since we are working on #732 and adding a Concurrent.Futures backend we should add documentation on how to use it.

Is your feature request related to a problem? Please describe.
According to the Arrow spec:

Bitmaps are to be initialized to be all unset at allocation time (this includes padding).

This would imply that bits outside the range [0, size) should always be zero. However, in cuDF/libcudf, we take a more conservative approach and say that bits outside [0,size) are undefined in order to a

Most of the people who start out new don't find a latest feed of community hyped resources on ML and DL topics. It would be pretty good if we add a Reddit section.
If you're fine with this suggestion I'll put up a PR with the update 😄

I suggest keeping the README short and to the point: badges showing status etc. of the package, what is the purpose of the package, how to install, 1-2 basic code examples, and contributing information.

More examples, function API docs, and detailed descriptions can be moved to the docs site.

I also suggest adding a gallery to the docs, [similar to Seaborn](https://seaborn.pydata.org/example

Implement elliptic functions and integrals in special functions.

list in https://docs.scipy.org/doc/scipy/reference/special.html#elliptic-functions-and-integrals.

Implement SeriesGroupBy.unique.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.unique.html

The procedure for downloading the "en_vectors_web_lg" in spacy. by downloading and unzipping the file, and shifting it to the appropriate directory, as illustrated here is l

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/Users/twiecki/working/projects/quant/alphalens/alphalens/tears.py:docstring of alphalens.tears.create_event_returns_tear_sheet_api_change_w