Stationarity & Seasonality| Time Series Forecasting #1|
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Published 2020-07-14
In this video i talk about the following things which are absolutely essential before learning time series models:
1)Stationarity ,
2)Why is stationarity required and how to convert non stationary time series into stationary
3)Seasonality and how to remove seasonality from a time series
4) We will also look at various time series plots to master the skills of identifying if a times series is stationary or not
Recommended Books to get better at Time Series Analysis and Python:
1)Practical Time Series Analysis: amzn.to/31lsLhq
2)Time Series with Python: amzn.to/2Ez073m
3)Hands-On Time Series Analysis with R: amzn.to/3aUxuKq
You can connect with me on linkedin at :www.linkedin.com/in/nachiketa-hebbar-86186515b/
Leave any queries in the comments section and thanks for watching !
All Comments (21)
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Dhanyavaad. As a data scientist I found this was very helpful
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Thanks for your videos! I'm new to time series forecasting and your content gives me a good overview. I noticed though while reading more on the topic that you might have mixed up first order differencing with lag difference. What you describe ( Y(t) - Y(t-2) ) seems to be called a lag-2 difference and apparently order is how many times you do the whole process.
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amazing content> very superb man i understood each and everything. For this shit i am paying 4 lakh rupees in a university in United states but cannot understand anything here. But this guy made it so simple. Thanks man. Reallly appreciate.
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Thanks for the video !! superb explanation
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Nice explanation. Your channel is underrated
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its really good vedio to understand concepts,good work
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very well explained keep it up.
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Love the playlist on Time Series Forecasting. Hope you upload more videos.
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Amazing Explanation Brother....
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please do make a video in mathematical calculation in both statistical tests for stationarity
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This video is worth watching....! Can you please make a video on Augmented Dickey Fuller test.
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Mate this is so informative!!!
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bhai apne itna accha knowledge kaha se liya ??... thanks for passing it brother GOD bless you
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Very helpful video ❤
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Thankyou for such simple explanation! Great!
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Superb explaination
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Well explained. Looking forward to more content.
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Dude.... Thankyouuuuu soo much buddy
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You are a Rockstar ❤️
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in python arima there is auto differencing? we don't need to fit model with this differenced time series? just select 'I' value? second param
