Machine learning Error:ValueError at columns are missing: {'Unnamed: 0'} in prediction

Error:ValueError at /prediction/add/
columns are missing: {'Unnamed: 0'} in prediction=model.predict(data)
my code is

car=pd.read_csv('data/Cleaned_Car_data.csv')
print(car)
x=car.drop(columns='Price')
y=car['Price']

my=x.info()
print(my)

Reason
A "ValueError" in machine learning typically occurs when there is an issue related to the values or data types being used. It signifies that the input or output values do not match the expected format or fall outside the valid range

Solution

x = x.drop('Unnamed: 0', axis=1)  

  my=x.info()
        print(my)
        x = x.drop('Unnamed: 0', axis=1)               
        print('cleaned data x target')
        z=x.info()
        print(z)

Reference