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pythonadvanced

Regression Ridge

Data science technique: regression-ridge

python
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.datasets import make_regression

X, y = make_regression(n_samples=300, n_features=6, noise=1.2, random_state=42)
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)
model = LinearRegression().fit(X_train, y_train)
print(round(model.score(X_test, y_test), 4))

Use Cases

  • machine learning
  • data analysis

Tags

#data#machine-learning#regression

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