Numpy Programming Tutorials, Guides & Best Practices

قم باستخدام النموذج لتوقع أسعار جديدة:

new_data = [[2500, 3, 10]]  # الحجم، عدد الغرف، عمر العقار
prediction = model.predict(new_data)
print(f"السعر المتوقع: {prediction[0]:.2f}")

The following Python code demonstrates how to create a one-dimensional array using NumPy:

import numpy as np

# Create a 1D array
arr = np.array([1, 2, 3, 4, 5])
print(arr)

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The following Python code demonstrates how to calculate the mean and standard deviation of an array using NumPy:

import numpy as np

# Create an array
arr = np.array([10, 20, 30, 40, 50])

# Calculate and print the mean
mean = np.mean(arr)
print('Mean:', mean)

# Calculate and print the standard deviation
std_dev = np.std(arr)
print('Standard Deviation:', std_dev)