Classical Time Series Models AR,MA,ARMA,ARIMA - Understanding time series models in python

[@UnfoldDataScience]

Access Hindi, English courses here- www.unfolddatascience.com/s/store Plz register on the website

[@preranatiwary7690]

Very nice. Thanks for sharing.

[@UnfoldDataScience]

Welcome :)

[@cmpunk3367]

Great Job explaining this! This channel is going to get a lot of views as soon as people start noticing it. It is very detailed. Just one suggestion - Please make sure to name the playlists in your description as otherwise it's a bit hard to find when you ask us to refer to one of your older videos.

[@UnfoldDataScience]

Thanks feedback taken

[@libinkoshy632]

Very informative 👌

[@UnfoldDataScience]

Thanks Libin :)

[@sanyamsingh4907]

hi sir can you please make a video on how to be competitive in Data Science career for long term and what are the best practices to be superior in this domain?

[@UnfoldDataScience]

Okay sure. Thanks for suggesting.

[@kalyankumar5413]

Great Video ..How to check the model performance and is there any variation limit or ranges for p,q,d

[@ZohaKhalid-u7d]

Thankyou so much, just subscribed your channel. It's quite helpful. If i want to ask some questions related to my project, where can i ask you? If it's possible?

[@UnfoldDataScience]

Thanks and welcome

[@sriadityab4794]

Nice. Do you know how to deploy a time series model using any web framework or cloud?

[@UnfoldDataScience]

Sure, I will create a video on similar topic. Thanks for suggestion, stay tuned.

[@sandipansarkar9211]

finished watching

[@rutvikjaiswal4986]

Can you please make video on how to select proper d value, as trend their so how to decide proper d value what parameter take in count ?

[@UnfoldDataScience]

Thanks Rutvik for suggesting. Noted.

[@krishnab6444]

thank you sir!!

[@UnfoldDataScience]

Most welcome!

[@abhisheksaini5217]

Thank you sir

[@UnfoldDataScience]

Welcome

[@vivekverma1320]

THANK YOU

[@UnfoldDataScience]

Thanks Vivek

[@dev5289]

Lifesaving content sir :)

[@UnfoldDataScience]

Thanks Devansh.

[@nilamsahu9603]

Where we can find the notebook? Pls provide the link of notebook that would be very helpful

[@UnfoldDataScience]

Link in description

[@lancelotdsouza4705]

Sir the video was very informative but how PACF value to be taken was unclear

[@UnfoldDataScience]

Thanks for feedback. I will check on it.

[@Bro_call_me_Dude]

how to transform the data non stationary to stationary

[@UnfoldDataScience]

I have discussed in other video in time series playlist.

[@akhmadmasyudi5539]

When I try to predict the future data it declare KeyError: 'The `start` argument could not be matched to a location related to the index of the data.' How to fix it?

[@UnfoldDataScience]

Hi Akhmad, The underlying problem here is that your data doesn't have an index with an associated frequency. Fix your index and frequency.

[@sivasu07]

How do we find the best model bro

[@UnfoldDataScience]

By checking the model performance

[@liliantotojuma7649]

Make the information clear.

[@sandipansarkar9211]

finished coding