On the right column, I'm looking for "Find Data" menu in order to access IBM Analytics Exchange and Open Data, but they don´t appear.
I have been trying in several way but I can´t get them appear.
What should I do?

with the "bad gateway 502" error why not add the solution that to fix it logout and relogin?

"Or you can select a part or interval of elements of a list. In our next example we are retrieving the 1st, 2nd, and 3rd elements:"

should be:
Or you can select a part or interval of elements of a list. In our next example we are retrieving the 2nd and 3rd elements:

just an idea....is there a pymc or pymc3 lab available to practice. Thanks

In course Python basics.... for LIST Lab please correct code for:

"Retrieve the elements stored at index 1,2, and 3 of 'a_list'." as mentioned in Jupyter notebook.

ML0120EN-1.1-Review-TensorFlow-Hello-World.ipynb

After block 4, it says "it's" in a place where it should say "its", because it is a possesive, not a contraction of "it is".

I cannot think of anything slower. The "2 - 3 minutes" message is very optimistic. These tools are totally unusable.

It shows 404 Not Found: Requested route ('cdsx.au-syd.bluemix.net') does not exist.

In the excercise BD211EN, the path used in the document is: "/resources/jupyter/labs/BD0211EN/"

However the actual path is:
/resources/jupyterlabs/labs/BD0211EN/

As a user of the CC Labs interface to self-edify on topics with Python, I would like to view integrated Python module documentation while traversing Notebooks including mouse-over summaries with option to click module methods that opens a new tab with the Python module docs. In short, integrated Python intellisense.

from:
!unzip -q -o -d /resources/jupyter/labs/BD0211EN/ j8skrriqeqw66f51iyz911zyqai64j2g.zip

to:
!unzip -q -o -d /resources/jupyterlab/labs/BD0211EN/ j8skrriqeqw66f51iyz911zyqai64j2g.zip

I believe there are typos in the Python Tutorial notebook where it says "zeppline" instead of zeppelin. Also the link for More Info in the 2nd cell doesn't work.

very confused

Re: BD0211EN - Lab 1
Currently the path to the working directory is written as
/resources/jupyter/labs/BD0211EN
the correct path is
/resources/jupyterlab/labs/BD0211EN

Also, the ReadMe.md file I extracted contains 98 lines and thus readme.count() returns 98. The notebook says it should be 103.

I just doing the Data Science Hands-On lab and it is not possible to the give data sample with is provided in the videos.
Because the download over http does not work or the server does not allow the download.

I was wondering why can I not just upload a own file to cognitive and us this file directly inside seahorse?

I did something wrong or is the an enhancement?

I think you should provide offline interface

I suggest you create a Wordpress plugin like DataCamp-Light plugin
https://github.com/datacamp/datacamp-light

or like DataQuest-Caravan plugin
https://github.com/dataquestio/caravan_wordpress

This idea will help an unlimited number of course creator and blogger around the world because it will make things easier
I suggest this idea because people need to learn but not all people are developers or programmers and people need something smart an easy

Thanks

My "ML0101EN-Reg-Polynomial-Regression-Co2-py-v1" exercise equation is:
yy = clf3.intercept_[0]+ clf3.coef_[0][1]*XX+ clf3.coef_[0][2]*np.power(XX, 2)+ clf3.coef_[0][3]*np.power(XX, 3)

The instructor's is:
yy = clf3.intercept_[0]+ clf3.coef_[0][1]*XX + clf3.coef_[0][2]*np.power(XX, 2) + clf3.coef_[0][2]*np.power(XX, 3)

Note especially "clf3.coef_[0][2]*np.power(XX, 3)" is this correct?

PloynomialFeature() function in Scikit-learn library, generates a new feature matrix consisting of all polynomial combinations of the features with degree less than or equal to the specified degree.

Can you elaborate a little more on how the function works?

N.B. I believe the spelling for the function is misspelled.

Thank you.

Floydhub.com is giving GPU free for 100 hours and free 10 GB storage. I am training models easily here. But there are no tools like jupyter lab, bash terminal and jupyter notebook in floydhub. In floydhub, I can download the data direclty into workspace.