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Update objectives
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objectives.md

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- write narrative everywhere
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- write exercise instructions + code + placeholder + solution marker
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- maybe try to swap RandomForestRegressor by XGBoost
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- finish uncertainty section quantile regression as classification
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- extract plotting functions in a helper module
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- enable subsampling on the features and targets or maybe on the `prediction_time` node.
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## h=1 model design and evaluation
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- Using sample weights to deal with contiguous data quality problems.
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## Exercises
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## Exercises ideas
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- Exercise: pipeline with missing value support: SimpleImputer with
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indicator, Spline, Nystroem, RidgeCV or TableVectorizer

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