diff --git a/Machine-Learning.py b/Machine-Learning.py
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+// Machine learning code using Python
+
+// 1. LinearRegression
+  import numpy as np
+from sklearn.linear_model import LinearRegression
+
+# Sample data
+X = np.array([1, 2, 3, 4, 5]).reshape(-1, 1)
+y = np.array([2, 4, 5, 4, 5])
+
+# Create a linear regression model
+model = LinearRegression()
+
+# Fit the model to the data
+model.fit(X, y)
+
+# Make predictions
+X_new = np.array([6]).reshape(-1, 1)
+predicted_y = model.predict(X_new)
+print("Predicted value:", predicted_y[0])