Great, thanks!
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Thank you Fernando, per your suggestion I have added the link to the
project in github, the README.md contains links to the
nbviewer.ipython.orghosted notebooks (copied the pattern from the
Python for Data Analysis link
few entries up).
-sujit
On Tue, May 27, 2014 at 6:41 PM, Fernando Perez wrot
On Sun, May 25, 2014 at 9:04 AM, Gael Varoquaux <
[email protected]> wrote:
> That's great!
>
Indeed, thrilled to see this!
> I've given you a bit more added publicity:
> https://twitter.com/GaelVaroquaux/status/470596202665623552
>
Duly retweeted :)
Sujit, could I suggest that y
Thank you Gael, much appreciated.
-sujit
On Sun, May 25, 2014 at 9:04 AM, Gael Varoquaux <
[email protected]> wrote:
> That's great!
>
> I've given you a bit more added publicity:
> https://twitter.com/GaelVaroquaux/status/470596202665623552
>
> G
>
> On Sun, May 25, 2014 at 08:59:
That's great!
I've given you a bit more added publicity:
https://twitter.com/GaelVaroquaux/status/470596202665623552
G
On Sun, May 25, 2014 at 08:59:56AM -0700, Sujit Pal wrote:
> Hello sklearners,
> I apologize in advance if this is regarded as a shameless plug, but...
> I rewrote the R exerc
Hello sklearners,
I apologize in advance if this is regarded as a shameless plug, but...
I rewrote the R exercises for the statlearning course (from Stanford
University, conducted by professors Trevor Hastie and Rob Tibshirani) into
a set of 9 python notebooks. All the algorithms used in my code
