MACHINE LEARNING

MACHINE LEARNING

INTRODUCTION

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What are the common approaches for encoding categorical data
A
One hot encoding
B
Standardization
C
Ordinal encoding
D
None of the above
Explanation: 

Detailed explanation-1: -Ordinal Encoding. One-Hot Encoding. Dummy Variable Encoding. 12-Jun-2020

Detailed explanation-2: -Label Encoding or Ordinal Encoding We use this categorical data encoding technique when the categorical feature is ordinal. In this case, retaining the order is important. Hence encoding should reflect the sequence. In Label encoding, each label is converted into an integer value.

Detailed explanation-3: -Thermometer Encoder is used to represent categorical variables as numerical values, specifically for ordinal variables where the categories have an inherent order. The encoding works by creating a binary representation of each category and concatenating the binary values to form a new numerical variable.

Detailed explanation-4: -Ordinal encoding is a good choice if the order of the categorical variables matters.

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