Update Python intro. [skip ci] (#7235)
* Fix the link to demo. * Stop recommending text file inputs. * Brief mention to scikit-learn interface. * Fix indent warning in tree method doc.
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@@ -64,6 +64,9 @@ XGBoost supports missing values by default.
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In tree algorithms, branch directions for missing values are learned during training.
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Note that the gblinear booster treats missing values as zeros.
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When the ``missing`` parameter is specifed, values in the input predictor that is equal to
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``missing`` will be treated as missing and removed. By default it's set to ``NaN``.
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**************************************
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Slightly different result between runs
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**************************************
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