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Hands-on time series analysis, open source projects, R packages, MLOps common mistakes with Rami Krispin - The Data Scientist Show #029
The Data Scientist Show
Time Serious Models
When we talk about causal inference, i think about experimentation. I'm ol on the predictive side, like a etting focus. And when i built my time serious mode, i remember the forecast, the range is getting really white, especially after a sudden period. So how do you tackle that problem? A, so that tes this is were i feel like there's some models, like, if you use linear model, it won't give you this thi ame impact because the grof is of its linear and doesn't take into account the time. You use rema, you will get this impact. Ah, you know, accept it or live with it. Just enough
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