sklearn train_test_split
import numpy as np
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.33, random_state=42
)
sklearn train_test_split
import numpy as np
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.33, random_state=42
)
train test split
from sklearn.linear_model import LinearRegression
rl = LinearRegression().fit(X, y)
rl.fit(X, y) #We can fit model to dataset in this way too
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