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18 lines
1.9 KiB
18 lines
1.9 KiB
# Show some more Time Series
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## Wetin you go do
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You don start to sabi Time Series Forecasting by checking di kain data wey need dis special modeling. You don show some data wey get to do wit energy. Now, try find other data wey go fit benefit from Time Series Forecasting. Look for three examples (try [Kaggle](https://kaggle.com) and [Azure Open Datasets](https://azure.microsoft.com/en-us/services/open-datasets/catalog/?WT.mc_id=academic-77952-leestott)) and make one notebook to show dem. Write down any special things wey dem get (like seasonality, sudden changes, or other trends) inside di notebook.
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## How dem go mark am
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| Criteria | Ogbonga Work | E manage | E no reach standard |
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| -------- | ----------------------------------------------------- | --------------------------------------------------- | --------------------------------------------------------------------------------------- |
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| | Three datasets dey show and explain for notebook | Two datasets dey show and explain for notebook | Small datasets dey show or explain for notebook or di data wey dem show no reach ground |
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---
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<!-- CO-OP TRANSLATOR DISCLAIMER START -->
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**Disclaimer**:
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Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say automated translations fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important information, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.
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