from sklearn.preprocessing import MinMaxScaler
import numpy as np

heightSet = np.array([[170], [170], [165], [164], [168]])
#heightSet=[170,170,165,164,168]
scaler = MinMaxScaler(feature_range=(-1, 1))
normalized = scaler.fit_transform(heightSet)

print(normalized)

while True:

age = int(input("Enter your age: "))

if age < 0:

print("Age cannot be negative. Please try again.")

else:

break # Exit loop when a valid age is entered

# Display the valid age

print(f"Your age is: {age}")

while True:

age = int(input("Enter your age: "))

if age < 0:

print("Age cannot be negative. Please try again.")

else:

break # Exit loop when a valid age is entered

# Display the valid age

print(f"Your age is: {age}")