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Tutorial on validation of historical features (#2277)
* dqm tutorial in docs Signed-off-by: pyalex <moskalenko.alexey@gmail.com> * gh link Signed-off-by: pyalex <moskalenko.alexey@gmail.com> * cleanup Signed-off-by: pyalex <moskalenko.alexey@gmail.com> * typo Signed-off-by: pyalex <moskalenko.alexey@gmail.com>
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docs/getting-started/concepts/dataset.md

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@@ -43,4 +43,8 @@ Saved dataset can be later retrieved using `get_saved_dataset` method:
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```python
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dataset = store.get_saved_dataset('my_training_dataset')
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dataset.to_df()
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```
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```
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---
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Check out our [tutorial on validating historical features](../../tutorials/validating-historical-features.md) to see how this concept can be applied in real-world use case.

docs/tutorials/tutorials-overview.md

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{% page-ref page="real-time-credit-scoring-on-aws.md" %}
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{% page-ref page="driver-stats-using-snowflake.md" %}
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{% page-ref page="validating-historical-features.md" %}

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