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Thank you so much for providing us this type of videos , this is very helpful for me .

Hi Rahul, can we try the same on pycharm or vscode. When im trying to import pyttsx3 pywin32. Import pyttsx3 def speak(text): engine = pyttsx3.init() engine.say("text") engine.runAndWait() speak ("hello there") Its not doing anything...also no error also. Could you please help me

very well explained bro👍

good

Super helpful even 4 years later, thanks!

Thankyou so much

How do we slow down the transition of the animation? If I have a smaller data set, I want it to pause at least 5-10s before moving to the next year.

Ran into a few small issues but managed to resolve and it works well! Thanks for the tutorial :)

Thanks, u so much sir.. actually I have been searching for exponential smoothing concepts.. this helps me a lot.

Thank you sir.

Are you the unfold data science guy? I bet it is you as I have learning basics from you. Can you make one on classification using sktime? I appreciate your effort.

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

this guy is so confused. he goes up and down and up. its fing annoying

Thank you so much !!! I was looking for some information on how to make a image detection App with Flask. This helped a lot. The step by step explanation is exactly what I needed. Greetings from Chile!

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

thank you, your video is really informative

Thank you, you have done great work

Thanks for introducing sktime library

whats the difference between temporal train test split and the regular sklearn train test split?

ReducedRegressionFOrecasting does not exist anymore does anyone have an alternative for this?

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

You are the best man!

you are a life saver thanks man

Good information

that was really helpful, thank you

where's the code man?

Is it abstractive ?

Is same code use for video too

Can you please explain me when to take trend and seasonality as additive and multiplicative

Hi ....could you please help me

Hi there: The whole series has been very useful to me. You explain with clarity and go right to the concepts. You mentioned in one of the first videos that you would also make a video explaining multivariate time series forecasting with sktime. Will you still do? Or at least with exogenous variables? I have such a case in hands for my thesis and thus it would be more than helpful. Looking forward to your next video, thank you very much for your time and dedication.

thanx

Thank you. very informative videos.

Amazing videos! Clear and simple. Thank you

thanks for the code! <3

Awesome video. After 2 days of searching I got what I wanted.

Hi RJ! Could you please create a video on one of sktime's classification algorithms for forecasting a multivariate model?! For example, Random Forrest classification using sktime?

When will you put stock prediction video as promised?

Thankyou for this wonderful explanation,it means a lot to me

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

permission to learn sir.thanks

Hi, thanks for the wonderful series on sktime. Are you able to go through the complete installation process for sktime? it seems like you need to install other requirements and dependencies issue, etc to run it porperly. thanks again

You are doing awesome!

If we create another button and after clicking it how to print the current data/frame values of the line graph?

Excellent, many thanks for this. Pls could you share any video on univariate time series forecasting with exogenous variable? I'll like to see how it can be done with sktime without using SARIMAX. thanks.

can we use same code for different language also?

Thanks a lot. Learned something new today & really appreciate ur effort

hey dheeraj nice video man kudos to you i have also tried it worked but tell me how to predict on test data on any Hackathon competion over there u will only have datetime variable then how to predict

Hello brother can you send me source code file (umartariq7487@gmail.com)

thank you sir so much explained in simple way