@chescov
This was awesome!! Thank you so much for teaching us both sides...python and power bi 👏👏👏
@im4485
Awesome video. Hey, I am having trouble pointing power bi to use the python within my anaconda env (you have it down, I can see at 12:48). It defaults, in my case to the python ithin anaconda but not the python in my virtualenv. Any idea how to fix it? Changing the path doesn't work.
@jimmyrico5364
Great content, thanks for sharing! How could one implement this but enabling automatic uploading of data (from a file hosted in SharePoint) and refreshing of the modeling whenever new records are added to the file please? - For a published version of the dashboard, I have a similar model deployed locally and would like users to execute it. Thanks in advance for your guidance!
@antonietakuz5636
Excelente video, estoy aprendiendo mucho como que haces!!! felicitaciones y gracias
@xyzaex
love this content. Thank you for sharing!
@rayxie5983
This is really awesome! Could you please try pipeline and grid search and make it dynamic in power bi ? Thanks a lot.
@zhangmr7955
I dont get it. How you set the Error Threshold measure of Parameter & parameter2? from where to set it? Too fast to follow. And how to set the prediction error?
@Happy_soul57
I have Created whole project except In Transform data there is a Table 1 and I don't know from where I can grt that data please please it's a request please share me that data I have submit the project in COLLEGE. PLEASE absent data
@jean-pierresteenberg
great python lesson as akways! i didnt really understand the symmetery part: There is a high amount of correlation between the the diamond dimensions. So it might be better to eliminate some of these due to the high amount correlation. how does symmetry help here?
@gomolemartifex
Your work is so helpful thank you so much
@Abhishek-jj5wo
Absolutely, such a nice video for prediction, Want to do practical to get more understanding. can i have the csv file for same to do the practice . thank you
@arrjunerasiah
This is absolutely amazing holy sht
@bouseuxlatache4140
great python lesson from a to z. thanks
@ncalc2261
Why scaling is done on whole data set i.e. X, instead of x_train only? Shouldn't it cause data leakage?
@teamomiparientes3769
so with such diagonal fitted line, it shows that the model is good
@MrLuxNsk
Thank you for awesome work. I am trying to recreate this step by step and get an error with KNN model. 'Input contains NaN, infinity...' but the dataset after getting dummies is free of any of those. Not sure how to follow up on this. Could you advise, please?
@Monnil46
Great tutorial! Could this code also be modified so that we can predict values for individual manually inserted values, much like what we did in the linear regression modelling in one of your other videos. If possible, could you give me a hint on how to do so? Thanks for the great video!
@geirberge8971
Thanks ,,, amazing
@kiliasm1686
thank you very much! I would like to ask a question: why is StandardScaler not applicable to Power BI?
@lawrencew8243