Problem_4: Normalize a dataset using Scikit-learn
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#pythoncode :
from sklearn.preprocessing import StandardScaler
import numpy as np
Sample data
X = np.array([[1, 2], [3, 4], [5, 6]])
Normalize the data
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)
print(X_scaled)
Explanation: This code uses StandardScaler to normalize the dataset, ensuring each feature has a mean of 0 and a standard deviation of 1.
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