APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNING PIPELINE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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When preparing the dataset for your machine learning model, you should use one-hot encoding on what type of data
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Continuous
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Ordinal
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Nominal
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Numerical
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Explanation:
Detailed explanation-1: -The Categorical data while processing, must be converted to a numerical form. One-hot encoding is generally applied to the integer representation of the data.
Detailed explanation-2: -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-3: -Step 1: Create the Data. First, let’s create the following pandas DataFrame: import pandas as pd #create DataFrame df = pd. Step 2: Perform One-Hot Encoding. Step 3: Drop the Original Categorical Variable. 28-Sept-2021
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