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Sean

EPFL

  • Encoding categorical variables in practice

    Many machine learning models require categorical variables to be encoded with numerical values. For instance, using one-hot encoding which creates a binary variable (0/1) for each possible value, e.g., if weather is a categorical variable with two possible values: sunny and rainy, then this encoding will lead to two new variables: is_sunny and is_rainy.

    By Sean Draft

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Apparently Sean prefers to keep an air of mystery about them...