Thank you! that's very helpful :)
On Thu, 27 Jun 2019 at 12:27, Roman Yurchak via scikit-learn <
scikit-learn@python.org> wrote:
> Meanwhile, loading the CSV from OpenML (https://www.openml.org/d/40945)
> would also work,
>
> pd.read_csv('https://www.openml.org/data/get_csv/16826755/phpMYEkMl')
>
Meanwhile, loading the CSV from OpenML (https://www.openml.org/d/40945)
would also work,
pd.read_csv('https://www.openml.org/data/get_csv/16826755/phpMYEkMl')
--
Roman
On 25/06/2019 17:04, Andreas Mueller wrote:
> By the time your book comes out, it's likely to be merged, but might not
> be r
Hi Sole.
I would suggest not to use this version of the titanic dataset.
It's a personal repository of mine and might not exist forever.
Ideally you (and we) would use fetch_openml.
However, the current version doesn't have support for returning dataframes.
That's addressed in https://github.com/s
Hello Scikit-learn team,
I am currently writing a book for Packt on feature engineering, where I
plan to show how to use the newest sklearn transformers.
Could I confirm with you whether I can use the titanic dataset located here:
titanic_url = ('https://raw.githubusercontent.com/amueller/'
