Making time series stationary In Python | How to make time series stationary in Python

Making time series stationary In Python | How to make time series stationary in Python
MakingTimeSeriesStationaryInPython #UnfoldDataScience
Hello All,
My name is Aman and I am a data scientist.
About this video:
In this video, I demonstrate about making time series stationary in python. I explain the step by step process of how one can make a non stationary time series to stationary time series in python. I explain the differencing method, transforming method and rolling method to make time series stationary. Below concepts are demonstrated in this video:
1. Making time series stationary in python
2. How to make time series stationary in python
3. Differencing method for time series stationary in python
4. transformation of time series to make it stationary in python
5. Rolling method for making time series stationary in python
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[@bbzhog]

thank you sir, it really helped me

[@goneraone1988]

Thanks for the video sir

[@pramishprakash]

Thanks a lot sir

[@kachrooabhishek]

loved it , applied log and then shift(7) makes me time series stationery. Thanks Aman, I needed this for my research work

[@UnfoldDataScience]

You're welcome Abhishek, do share with others as well. Happy learning 😊

[@ankitraibole7885]

how to interpret the negative and log values after the tranformation. how can we calculate actual values

[@ajinkyaadhotre5336]

thanks bhaiiya ! you are a life saviour !

[@UnfoldDataScience]

Thanks Ajinkya. Hope you are doing great.

[@khushiaggarwal9546]

Thanks a lot. this was very helpful

[@UnfoldDataScience]

Thanks Khushi.

[@iEntertainmentFunShorts]

Best video you saved my many hours thanks a ton

[@UnfoldDataScience]

Most welcome

[@richasharma5949]

How did you check that shift = 7 for seasonal differencing? Is it by using PACF ?

[@TeenaMalhotra]

Helpful 👍

[@UnfoldDataScience]

Thanks.

[@TeenaMalhotra]

@@UnfoldDataScience can you please provide your video content on "Process of Transforming Non Stationary Time Series"

[@sadhnarai8757]

Very nice Aman

[@UnfoldDataScience]

Thank you :)

[@amadoum.jallow620]

very well explained and informative. Please, kindly provide videos on multivariate time series

[@UnfoldDataScience]

Thanks a lot.

[@TomTom-jz1ru]

Hi,
After doing the first differencing, how to check the ADF test on that differenced series?

[@Jaspreetsingh-ic3cf]

Hi Aman, can you make entire playlist on time series. It will be helpful.

[@UnfoldDataScience]

Sure Jaspreet, I am adding all time series video in a playlist.

[@ayantikabhowmik1261]

Hi Sir, could you please explain why can't we build or train any model if our time series data is not stationary?

[@UnfoldDataScience]

Hi Ayantika, Algorithms are designed in such a way that it needs to learn the internal pattern of the data, Trend and seasonal components can be added later in the model.

[@KarthikG-g7i]

Bro you mentioned wrongly as if a Data set contain Trend,Seasonality or any other then it is considered as non- stationary data we have to convert that into stationary . . . .

[@shadow82000]

Hi nice video! I cannot seem to find the code in your google drive

[@UnfoldDataScience]

Will upload, thanks for reminding.

[@sagarrawal8332]

how to plot a trent line over timeseries and get a result as number/year

[@UnfoldDataScience]

It's easy, there are packages

[@claymore9112]

hey i have sent you a question hope you have a look at it! Nice video

[@UnfoldDataScience]

Sure.