161 - An introduction to time series forecasting - Part 1

Code generated in the video can be downloaded from here:
github.com/bnsreenu/python_fo...

[@CodeEmporium]

Nice intro! There are many approaches to time series analysis. Glad you're covering them too instead of just the traditional approaches. I'm in the process of making a similar video too. Looking forward to more!

[@DigitalSreeni]

Thanks for your note. I'm a big fan of your videos, very informative and explains the back-story in a clear concise way. I fill my knowledge gaps watching your videos. Keep up the good work.

[@nnekaagbanusi9660]

Nnnnnnnnnnbnnnbbnnb

[@felixakwerh5189]

It’s quite humbling to know that you also watch other people’s tutorial video

[@mohammedghouse235]

Amazing video Sir. Could you also explain how can I do anomaly detection using methods like ARIMA or ARMA in a time series?

[@samarafroz9644]

You're amazing sir

[@DigitalSreeni]

Thanks a ton

[@evyatarcoco]

A great video ! you are enriching our mind with your wise and fluent explanations. Can you please explain about Transformers in your future episodes?

[@DigitalSreeni]

Transformers are not easy to explain. In fact, I am trying to understand them myself. I will do a video as soon as I get some clarity and break it down into digestible bits. Great suggestion though!

[@evyatarcoco]

🙏🏻 Thank you sir

[@caiyu538]

Great series. I am learning it. Is there a lot of application in medical images?

[@alteshaus3149]

Nice video

[@rathnakumarv3956]

@7:27 how the python libraries find the amount of various components of time series? or they must be using some standard way of breaking the series irrespective of actual proportion!!

[@khairulfahim]

Hi, I am unable to get the .csv file of Airlinepassenger.csv. Could you please provide it?

[@duweshkumar]

Can you provide me the source code since I am working. On this project

[@DigitalSreeni]

Looks like I forgot to provide the link to my github page as part of the description. Here it is: github.com/bnsreenu/python_for_microscopists

[@duweshkumar]

@@DigitalSreeni sir could you please make a video in R studio for the same??