Here's the completed code:
```
class BinarySearchTree:
def __init__(self):
self.root = None
def find_min(self):
# Set current_node as the root
current_node = self.root
# Iterate over the nodes of the appropriate subtree
while current_node.left_child:
# Update the value for current_node
current_node = current_node.left_child
return current_node.data
bst = BinarySearchTree()
print(bst.find_min())
```
The code defines a BinarySearchTree class with a find_min method that finds the minimum value in the tree. It starts by setting the current node to the root of the tree. Then, it enters a loop that continues until it reaches the leftmost node of the tree, which is the node with the minimum value. In each iteration, it checks whether the current node has a left child. If it does, it sets the current node to the left child and continues the loop. If it doesn't, it has reached the leftmost node and returns its data. Finally, it creates a BinarySearchTree object and calls the find_min method to print the minimum value in the tree.