Thank you for the so clear explanation! The only complain I've got is that I can't find the notebook in the repository website. And I would like to understand when I must use each of those.
Great explanation. The only this is I can't find the dataset can you please include it in description so that we can also work on the same example dataset.
any idea how to code in python: how "respected" is as example the sma50? how much does it act as support/resistance with a measured and reliable number?
In the previous video, you talked about double and triple exponential smoothing too but here you haven't, also how to optimize the value of window and alpha?
Aman , really very thankful for your great explanation .through your explanation you make the topic simple and understandable. I have a doubt here - since exponential curve following the black one(original) can we say it is following exponential trend?
Pandas data cast to numpy dtype of object. Check input data with np.asarray(data) - getting this error while attempt to fit a regression model in Python and fail to convert categorical variables to dummy variables first before fitting the model. can you please help fix this error
I am glad that I found your channel. Thank you so much 😊
Most Welcome.
Great Explaination 👍
Appreciated ! keep it up
I am unable to exactly find that ipython notebook in google drive folder. Please help me in finding that
Aman thank you for the explanation.
Besides the massive knowledge you have. You are a legendary teacher
Thanks a lot. pls share with friends.
Great work!! Thanks!!
Thank you too!
Thank you for the so clear explanation! The only complain I've got is that I can't find the notebook in the repository website. And I would like to understand when I must use each of those.
Great explanation. The only this is I can't find the dataset can you please include it in description so that we can also work on the same example dataset.
finished watching
very nice video sir
Thanks and welcome Ashish.
Don't see any notebook for this in the google drive shared link. Can you please check from your side once.
Its been sometime and somehow can't find this notebook in my local also. I will try again
any idea how to code in python: how "respected" is as example the sma50? how much does it act as support/resistance with a measured and reliable number?
Link Of The Data:
www.kaggle.com/kandij/electric-production
Thanks Hardik
Thank you! Please provide dataset in further tutorials...so that we can practice
Hi Rohit, did u look here?
drive.google.com/drive/folders/1aBH3S0YnGi8sw7C2wtUDF181ETXbfikb
sir, i had watched your last video on this topic but am not able to get why those first 4 values are not preset
Nice
Thanks Vinod.
In the previous video, you talked about double and triple exponential smoothing too but here you haven't, also how to optimize the value of window and alpha?
yes same question even i have
sir why the first 4 values are NaN for rolling mean method ?
Why after applying the rolling and exponential smoothing, the p-value increases even exceed 0.05 compared to original dataset?
Aman , really very thankful for your great explanation .through your explanation you make the topic simple and understandable.
I have a doubt here -
since exponential curve following the black one(original) can we say it is following exponential trend?
Thanks. Yes
Sir any specific reason of choosing window = 5??
instead of SMOTE which technique we will ise
Pandas data cast to numpy dtype of object. Check input data with np.asarray(data) - getting this error while attempt to fit a regression model in Python and fail to convert categorical variables to dummy variables first before fitting the model. can you please help fix this error
hey Aman how do we select the value of alpha can we allow the model to choose the alpha value?
good question also which method to select out of the three?
Sir this file I'm not able to find on your drive, kindly help it was really useful session
can u provide the link of the dataset so that we can apply it on....
drive.google.com/drive/folders/1XdPbyAc9iWml0fPPNX91Yq3BRwkZAG2M
Why do we use holt since it is giving the same result as above
Is holt the triple exponential you were talking about?
Yes.
How is Holt method different from Exponential moving average ? Just want to understand the logic behind Holt method.
I will try to create video on that topic Saurabh
Aman, can't find codes for smoothing techniques
Hi Prem, can u check once now. I upload ed
Hello Aman, Thanks for your reply. I was looking for Time series smoothing in Python. Not able to find that.
It's uploaded, could u check once please.
No aman it's not available in your time series file can you can please reupload it.. thanks..
Yes sir, its not there. Could you re-upload it?
Hello sir, how to get the rolling day average for exponential moving average, Ex: EMA(5)
Python package will give dorectly.
From where can I get the code of this video .
if red line(exponential trend) is exactly on the blue line(linear trend), can we say that the data has linear trend , not exponential trend ???
Yes Aniruddha.
How do you decide that the window size is 5?
By eda
Why we use smoothening??
Hi Arif, just for demonstration purpose.
Thanks @aman
can you please upload the code..can't find in drive
Hi neha, Somehow that file is missing. I tried in search in my local machine but its taking time. I will put once I get it.
@@UnfoldDataScience Please do that ASAP
finished coding
could you please share , as i am novice to python
@@divyaprakashjaiswal3330 what kinf of help do you need in python
Its possible to have subtitle in your video,because kinda hard for me to understand what you talking
Will look into it