COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Continuous
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Ordinal
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Nominal
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Numerical
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Detailed explanation-1: -Often, machine learning tutorials will recommend or require that you prepare your data in specific ways before fitting a machine learning model. One good example is to use a one-hot encoding on categorical data.
Detailed explanation-2: -One-Hot Encoding It maps each category with binary numbers (0 or 1). This type of encoding is used when the data is nominal. Newly created binary features can be considered dummy variables.
Detailed explanation-3: -One-Hot encoding technique is used when the features are nominal(do not have any order). In one hot encoding, for every categorical feature, a new variable is created. Categorical features are mapped with a binary variable containing either 0 or 1.
Detailed explanation-4: -One-hot encoding in machine learning is the conversion of categorical information into a format that may be fed into machine learning algorithms to improve prediction accuracy. One-hot encoding is a common method for dealing with categorical data in machine learning.