What is one hot encoding

One hot encoding is a process by which categorical variables are converted into a form that could be provided to neural networks to do a better job in prediction.

One hot encoding is a process by which numeric variables are converted into a form that could be provided to neural networks to do a better job in prediction.

One hot encoding is a process by which numeric variables are converted into a categorical form that could be provided to neural networks to do a better job in prediction.

One hot encoding is a process by which only the hottest numeric variable is retained for use by the neural network.

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To compute the hash buckets needed to one-hot encode categorical values

To count the number of unique buckets the input values falls into

To discretize floating point values into a smaller number of categorical bins

None of the above

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Feature Engineering >>> What is one hot encoding

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