Greetings, I've got problem login with the username provided and a password I've gave. The system always send me to the register page. ( https://datascientistworkbench.com/register)

Please help me!

Claude Coulombe
claude.coulombe@gmail.com

Maybe there is a way to do that and I didn't find it but an option that allows the user to detach and re attach to a running script would be welcome.
I would love to be able to disconnect while a long script is running during he night and access it agin in the morning.

Whenever there is an outage, there should be a status page that provides users with the status and estimated up time.

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

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

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?

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.

In the lab the statment:

"It looks like feature sets for multiple linear regression analysis, right?"

How is this conclusion made?

thanks

How is this known? I think the example of Theta T and X differ from the lab.

Question one asks for "engine-size" for independent variable but solutions use "highway-mpg" as independent variable.

I has raised an issue around weeks back, but still I have not received any response back or work arounds.

In the lab of string operations the explanation of upper method in string operations "this method converts lower case characters to upper case characters" should be present instead of "this method converts upper case characters to lower case characters"

there should be an option for selecting our prefferred video quality of the videos in the module.
The only option that exists right now is HD, and for some course participants like me, watching in HD format may incur heavy data fees.

There is a small typo in this notebook: "#### Let's fixes these problems." instead of "#### Let's fix these problems."

the thing is that the courses are good but you should group them acc to a particular topic... for example if need to study hadoop .. make all topics come under it in a particular manner so that we can study from easy to hard level.

Hello. I guess that would be nice to have a Cheat Sheet Tool embedded in the Data Scientist Workbench. One example of an online tool that I use is https://www.cheatography.com. There are many Cheat Sheet available, but it's always good to be able to create your own Cheat Sheet with things you believe is relevant for your study/research.

Upload notebooks from a local drive.

The header#global-navigation could be hidden when scrolled down.
The notebook column could be also larger and its header could also be hidden.

The UX is really terrible in the current situation. Less than 40% of the screen is used to really display the notebook content. Please, think about changing!