What is stationarity ? How to make a series stationary? Stationarity in python-codes with example

What is stationarity ? How to make a series stationary? Stationarity in python-codes
#stationarity #pythonCode #HowToMakeStationary # pyhtonCodes #Examples

[@jc231]

Wow, this is one of the only videos where the concept is actually explained well (For a noobie like me) with examples.
Very helpful.

[@davidfullstone]

Thank you, you truly made my current MSc module so much easier to get my head round 🙂

[@googlegoogle1610]

wow, you are really talented in teaching, I recommend you to make more videos

[@yogendrashinde473]

Nicely and Perfectly Explained. Kudos to Paramita

[@Moonlight_ilias]

very clear and concise

[@pramishprakash]

Clearly explained mam... Thanks alot

[@SunilSharma-sp2vk]

Nice video..

[@sushilmankotia3126]

Parmita your teaching style is too good

[@girishkumar9631]

very nice ma'am..

[@subhamb3295]

Mam please make a playlist on Machine learning
And would be helpful if you add sarima and Varma and var

[@vinaya111k]

Thanks a lot, One question in my raw data, we have trend & seasonality both, So I should do differencing & Season differencing both?

[@harshprajapati6327]

What if the p-value is less than 0.05 but the decomposition plot shows trend and seasonality?
what should we consider go ahead?

[@pouriaforouzesh5349]

👍

[@howcouldi4974]

Brilliant

[@rationalist8016]

your teaching style is different from REST of the UA-camrs on Data Science topics . No doubt they are the best but your teaching style is different from all the best

[@NEOUSAP]

do u have a code link or git for this example?

[@aidev8926]

Please Ma'am start to teach . Your content is very great.

[@chetanpandit747]

What to do when our data is yearly based...is it seasonal or nonseasonal

[@pankajkhatri630]

i have a question

[@CoachTobby]

Paramita, I need to consult you over a project

[@mohitdwivedi4588]

You didn’t explain why to make a series stationary… 😠

[@varthinisrinivasan6154]

By this we are removing trend and seasonality for better forecast