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Block 1: Several variables: reading the knobs of a regression
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From one knob to several
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Categories, interaction effects and residuals
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Block 1 exam
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Block 2: Forecasting over time: trend, seasonality and the rule without a model
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Anatomy of a series
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Forecasting without cheating
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Block 2 exam
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Block 3: Classifying: from probability to the tree
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Predicting a yes or a no
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A tree: chained questions
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Block 3 exam
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Block 4: Many trees, and when not to train anything
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Forests: many models are better than one
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Train a model or ask one that is already trained?
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Block 4 exam
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