![machine learning - Working with Time Series data: splitting the dataset and putting the model into production - Cross Validated machine learning - Working with Time Series data: splitting the dataset and putting the model into production - Cross Validated](https://i.stack.imgur.com/gzsVX.png)
machine learning - Working with Time Series data: splitting the dataset and putting the model into production - Cross Validated
![Rolling cross-validation time window. Green stands for training, orange... | Download Scientific Diagram Rolling cross-validation time window. Green stands for training, orange... | Download Scientific Diagram](https://www.researchgate.net/publication/357934363/figure/fig3/AS:1129010893471751@1646188581058/Rolling-cross-validation-time-window-Green-stands-for-training-orange-for-validation.png)
Rolling cross-validation time window. Green stands for training, orange... | Download Scientific Diagram
![Add rolling window to sklearn.model_selection.TimeSeriesSplit · Issue #22523 · scikit-learn/scikit-learn · GitHub Add rolling window to sklearn.model_selection.TimeSeriesSplit · Issue #22523 · scikit-learn/scikit-learn · GitHub](https://user-images.githubusercontent.com/28893120/154545460-d1629e8a-22a4-494d-affc-2df3cb95ade7.png)
Add rolling window to sklearn.model_selection.TimeSeriesSplit · Issue #22523 · scikit-learn/scikit-learn · GitHub
![Time Series Cross-validation — a walk forward approach in python | by germayne | eat-pred-love | Medium Time Series Cross-validation — a walk forward approach in python | by germayne | eat-pred-love | Medium](https://miro.medium.com/v2/resize:fit:1400/1*k5rqfNr1RXK5BnOAGI8gRA.png)