Regression for Forecasting | Practical Time Series analysis (Machine Learning) in sktime (Python)

[@AlbertFlor]

For those watching in 2022:
`ReducedRegressionForecaster` is now `make_reduction`
while
`plot_ys` is now `plot_series`

[@sparshsharoff5527]

Thanks a ton mate!!!

[@ninadmhatre]

Thanks for introducing sktime library

[@ErnestoDotNet]

Rahul - this is a GREAT overview. Thank you for this!

[@datageekrj]

Hi Ernesto,
Thank you so much. :)

[@leticiagerola9238]

Great content! Very objective and didatic, greetings from Brazil.

[@datageekrj]

Hello there.
Glad you liked the content.
There are more videos in this playlist on time series. Don't forget to check them out too.
Thank you :)

[@aptmap5181]

When will you put stock prediction video as promised?

[@vivekdabholkar5965]

Awesome presentation, how do I get just python code without in between outputs?

[@lukkenny5269]

You save my homework ❤️❤️Which it I have to use previous 6 hour to predict next hour. And I have no ideas to do!!

[@kelixoderamirez]

permission to learn sir.thanks

[@dheeraj.a5108]

Great Content, Thank you. Good approach and useful library for forecasting. I see here we are forecasting for a single airline data, Can you please help me what should be our approach for forecasting for several airlines. Like for example if we have 10 airlines how do he handle that situation, do we need to build 10 different models for each airline or a single model will help us ??

[@fideletinosa3716]

This is a very important and valid question

[@wannuratiqah2485]

i tried to load the sktime.utils.plotting.forecasting import plot_ys however it gets an error saying that sktime.utils.plotting is not a packagw

[@aptmap5181]

try plot_series instead. It's a newer library so their syntax is not fixed yet. Need to refer to sktime documentation instead of just copy and paste from other people's codes

[@EnesKuzucu]

30 mins of video and it ends up with poor performance...waste of time tbh