Introduction to Time Series Concepts and Modeling - Webinar

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#datascience #machinelearning #ml

This is webinar done for Dphi. In this webinar we will learn details on time series and modeling techniques. We will learn basic concepts like Trend, Stationary, Seasonality and also data engineering and modeling concepts

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I just started working on a Time Series problem statement. This was much needed!

krawling

Thanks for this! I’m working on a TSI project and this is very helpful.

shawndeggans

Not a intro webinar, but intermediate i would say. But excellent content with good pace. Loved every bit of it.

amanbagrecha

Beating the YouTube algorithm!!! Thanks Srini sir. ~PSK

wannabeyoutuberbasher

I have one question . I am working on machine predictive maintenance, want to predict and forecast failure with the multivariate time series . As per my understanding from the video anomaly detection should be used.
1.Can we forecast with multipl time series and detect the failure by forecasting from data points. Which model will be used .
2.Anomaly detection can be forecasted ?

sakshisingh

Hey sir, that was so insightful, waiting for next webinar, Thanks

Devils_Relaxed_Soul

@AIEngineering this video was wonderful, I wanted to ask i have two columns 1. time data in mm and 2nd column is displacement. which type of algoithm shall i use to find an anomaly in my present data (I am not talking about forecasting). i would be thank full if anyone can guide me for non stationary and non linear data

iamshaguftanaz

Sir please do some session of predictive maintenance

suryanshgupta

I have questions, I am dealing with financial data but there is no entry in weekends, how to handle that in a time series problem

wannabeyoutuberbasher

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