Amazing course. The only question I have is at 2:21:14, you got the CI = [0.4, 0.426]. However, when calculating the practical significance, you used the CI[0] = 0.04 instead of 0.4 while comparing it with Delta. Won't this fluctuate the result? And prove our result to be "Not practically significant" ?
Yeah, I see the same problem here. The calculated CI is different with the CI used in the practical significance function. The initial code was right so there was no need to change." lower_bound_CI >= delta". To prove practical significance, the lower bound of CI should be higher than delta. That means that even the lower bound of the confidence interval of the delta is higher than the MDE, so practically should proceed with the treatment design.
@adityajds respect people’s nature, distinct cultural and linguistic differences as everyone didn’t emanate from your geographical area. She gave out so many information for free, yet you are majoring in the minor.
perfect timing! Im working on a Stats Machine Learning project right now, hah.
Now this is what i was looking for❤️ thankyouuuu
Awesome work ❤❤
Amazing course. The only question I have is at 2:21:14, you got the CI = [0.4, 0.426]. However, when calculating the practical significance, you used the CI[0] = 0.04 instead of 0.4 while comparing it with Delta. Won't this fluctuate the result? And prove our result to be "Not practically significant" ?
Yeah, I see the same problem here. The calculated CI is different with the CI used in the practical significance function. The initial code was right so there was no need to change." lower_bound_CI >= delta". To prove practical significance, the lower bound of CI should be higher than delta. That means that even the lower bound of the confidence interval of the delta is higher than the MDE, so practically should proceed with the treatment design.
Excellent video.
Hi sir fan your teaching in app development
(Confirm on essential)
Can you provide CSV File and Colab Notebook?
Yes please
Shouldn't in the case study for alternate hypothesis ue > un instead of equal to so we conduct only one side test.
Data is the new oil.
Can someone please let me know if someone new to Python can also learn this course? Do we have any prerequisites?
Hi there, in this Course basic Python is a prerequisite - please check of our "Python for Beginners" free UA-cam course
👏👏
Would you please share the code for this A/B Test Tutorial ? Thanks
Seria genial que implementen una app con django y ciencia de datos ❤
where is the demo csv files??
30+ motorola ads in one video 😭
BLOG is paid service??? Can some help and give me a pdf of it
It was difficult to follow, didn't understand pronunciation of lot of words.
too many advertisement..
I wouldn't say AB testing is advanced statistics. more like introductory
Where is the Colab Notebook and CSV file. Without it the course is almost useless.
so much repetition - the course moves slow even on 2x
What a beautiful golden-ratio-based face :)
Glory to the Creator.
heliwave
pronunciation of every word is very confusing other wise it would have been a great video
@adityajds respect people’s nature, distinct cultural and linguistic differences as everyone didn’t emanate from your geographical area. She gave out so many information for free, yet you are majoring in the minor.
@@newmanokereafor2368 he did not disrespect, simply stating it was confusing for him. Accents can be confusing, kindly bzz off.
Any tutorial involving coding without the repo is useless