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I really love your explanation. God bless u mam

Great video! But what if the seasonal period is unknow or time-varying? how can i estimate it?

By Lt and Lt-1, I assume this is the same as notation in your book that uses the Ft and Ft-1 for the forecast value?

Thanks for the video. I want to predict the value of one Index for 2019 using past data from 1970-2018. This Index is a TS, but it is also calculated using variables with weights that also are TS. What to do? To use only the data for I(t) like in 10:30 or to use the variables? Honestly I try by using SPSS where for Input I use the Variables data from 1970-2018, and for Output data I mark only the Index. It can show me only the correlation between Variables and the Index with synaptic weights but nothing more. I cannot find the forecasting option for 2019, I can only plot the Predicted values for the Index from 1970-2018, but cannot go further. What to do in order to predict the Index for 2019? I want to use ANN for the prediction but cannot find a way to do it. Thanks!

Thank you. This was helpful

Thanks, this is a good explanation of roll-forward partitioning.

Thank you very much for the excellent moving average method class. It was very useful for me. I´d appreciate more videos on Forecasts and, if possible, in DOE too.

You must work on fixing those that wish to tell others what to do before you worry about making it easier to get people to follow along. We have evil people in the world already abusing so much. This is inhumane as of now and the trajectory is dire and unbearable

This is a sickening path not worth living in

nicely done

Amazingly explained. Clear, to the point, brief. Thank you!

Superd ❤

Thank you for the clear explanation on these forecasting models!!!

What about the assumption of independent observations in logistic regression model?

Can we combine exponential smoothing with regression?

Sir, If I am doing double exponential smoothing 5 period moving average with a software program--after 5 period exponential moving average is calculated say (X) does computer do second calculation with data X and (X-t1) (X-t2) (X-t3) (X-t4)- - - - forgive me,I went to college 50 years ago..(X-t1) is exponential moving average one period prior & so on.

What is exact meaning of level?

As a beginner learning time series analysis and forecasting, I think your lesson is much clearer and better than what I've seen so far. Thank you for sharing and teaching! :)

Interesting view on missing values!

Thanks for the nice presentation. What software (GUI) you have used? Please provide a link to it, if possible.

Very well explained. I encourage you to do more educational videos!

I love it!

Amazing video!!!

It would be nice if you touched on how to add back the trend or seasonality.

God of data science 🙏🏼

Amazing 🤩

This is a great course from a great professor, Dr. Galit Shmueli. I really liked your teaching way. Everything is so clear. Thank you so much.

Do feel RUclips is much better than the professor in uni..

At 3:35 L(t) = ... should be L(t+1) = ... .Do you agree? (nice lecture by the way)

Thank you so much

Can you hire a presenter to speak and make the presentation more engaging? I can't stay awake.

kol hakavod Galit :)

Excellent , much appreciated. Thank you very much

I have a question - What is the difference between autocorrelation and seasonality. Can I say, "Presence of seasonality at time instances of lag distance apart is found by measuring autocorrelation behaviour mathematically" ? Thank you

I don't have words to praise your content. I am a self learner from this kind of knowledge transfer. The first person I admire was Andrew NG and you are added to that Bubble. I appreciate the selection of real life examples. I have been through similar lectures which generates the stationary time series and adds trend and seasonality then demonstrates how to identify, measure, detach these components. That treatment made me feel what's going on but I felt like it is artificial and it appeared what we have added we are identifying. I loved your comparisons viz., - comparison among the different methods with gradual increment in complexity - comparison time series problems with other machine learning problems In summary, it is the best course I have ever come across !! Thank you Anandachetan Elikapati

although back in 2016 , but super explanation. sharp and crystal !

super useful, ty!

1:34

How can I fill the missing data in matlab?

Very good!

3:00 Why might a data analyst want to remove seasonality if all we need to do is remove the trend to make the data stationary?

You are so amazing in the way you presented that... Thank God... I'm unsure how i found your page, but I'm hoping to follow plenty more

if the result of the matrix multiplication is negative then what do we do. Do we take the absolute value?

Awesome

Fantastic stuff. Put words to splinter I couldn't extract from my brain until now.

This is the best video I have seen on the ARIMA model so far. GREAT Job!

I noticed that in the matrix example, the order of the variables of the individual (CCAv, Age, Income) isnt the same that te order of the variables on the covariance matrix (Income, AAv,Age). Please chek it

You are a fucking treasure

Easy explained maybe complex problematics. I understand, thank you!

Much appreciated.