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Python 3
Separating Features and Target Variable

Separating Features and Target Variable

Separating Features and Target Variable

Separating Features and Target Variable

Machine learning models require the input features and target variable to be separated.

Code

X = credit_card_data.drop(columns='Class', axis=1)

Y = credit_card_data['Class']

Explanation

Here:

X contains all transaction features.
Y contains the target labels indicating whether a transaction is genuine or fraudulent.

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Separating Features and Target Variable

Contents

Separating Features and Target Variable

Code

Explanation

Credit Card Fraud Detection for Beginners using Data Science

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