How to Implement Holt-Winters in Python for Precise Predictions

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In this video, I'm going to show you how to use Holt-Winters in Python for precise predictions. Holt-Winters is a popular demand forecasting method that is used in a variety of industries.
By the end of this video, you'll be able to use Holt-Winters in Python to make precise predictions for your business. This technique is a valuable tool for managers and entrepreneurs who need to make informed decisions about their products and services.
The video shows a simple tutorial in Python.

[@zhangmr7955]

The Colab dataset cannot access

[@anjanirashmithachinta8690]

Could you do one with duplicate data where there’s more data for the same date? Getting an error while using asfreq function saying cannot reinfect duplicate axis

[@DataHeroes]

What do you mean more data for the same date?

[@anjanirashmithachinta8690]

@@DataHeroes suppose we have multiple Sales for multiple sku’S on the same date! While using asfreq it doesn’t recognize it as a daily date as there are reputation in the dates

[@DataHeroes]

@@anjanirashmithachinta8690 got it. Either create one column per sku or if you subset to create the model, then set the frequency after subsetting. I hope it works!

[@arvinjjj]

Why didn't you split the data into training and testing?

[@DataHeroes]

To keep the video very short. Just that :)

[@TheBibleAnimatedOfficial]

your code is no longer avaliable

[@meriem981]

My python shows an error saying no module named 'statsmodels.tsa.holtwinters'

[@meriem981]

What do i do?

[@lugia8888]

@@meriem981 dont worry