Create main.py

Author: fixleftdev

main.py

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+import numpy as np
+from sklearn.linear_model import LinearRegression
+
+# Sample data
+X = np.array([[1], [2], [3], [4], [5]])
+y = np.array([1, 3, 2, 3, 5])
+
+# Create a linear regression model with normalize parameter
+model = LinearRegression(normalize=True)
+
+# Fit the model
+model.fit(X, y)
+
+# Make predictions
+predictions = model.predict(X)
+
+# Print the coefficients
+print("Coefficients:", model.coef_)
+print("Intercept:", model.intercept_)
+print("Predictions:", predictions)