Merge pull request #9 from fixleftdev/new_cut

New cut

Author: fixleftdev

main.py

@@ -3,18 +3,26 @@
 
 # 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
+
+# Create a linear regression model with normalize parameter k
+
 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)
+

requirement.txt

@@ -1,5 +1,2 @@
 numpy==1.21.0
 scikit-learn==0.24.dev0
-
-
-