Update nominal data
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- Data collected contains observations (values), and attributes / features
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(keys), can be:
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- Continuous or Discrete
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- Numeric or nominal
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- Numeric or nominal (labels like "London" or "Beijing")
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1. Modeling: Visualizing the data to answer questions
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- Using ML: split dataset to train, validate and test them
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- Train: to fit the model
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