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Merge pull request #3 from thor-harsh/thor-harsh-patch-3

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Update k_nearest_neighbours.py
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thor-harsh 2023-08-19 18:50:30 +05:30 committed by GitHub
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machine_learning/k_nearest_neighbours.py
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@ -10,7 +10,8 @@ X = np.array(data["data"])
y = np.array(data["target"])
classes = data["target_names"]
X_train, X_test, y_train, y_test = train_test_split(X, y)
X_train, X_test, y_train, y_test = train_test_split(X, ym,random_state=42)
'''Random state = 42 is set so that the training and test set remains same after 1st run for all
def euclidean_distance(a, b):