End to end machine learning model deployment using flask

machine_learning_deployment_2.py

# -------------------- TRAINING SET --------------------
# Import the training set
df_train = pd.read_csv(
    filepath_or_buffer = 'https://raw.githubusercontent.com/dphi-official/Datasets/master/Loan_Data/loan_train.csv',
    usecols = [i for i in range(1, 14)]
)

# Data dimension
print('Data dimension: {} rows and {} columns'.format(len(df_train), len(df_train.columns)))
df_train.head()

# -------------------- TESTING SET --------------------
# Import the testing set
df_test = pd.read_csv(
    filepath_or_buffer = 'https://raw.githubusercontent.com/dphi-official/Datasets/master/Loan_Data/loan_test.csv'
)

# Data dimension
print('Data dimension: {} rows and {} columns'.format(len(df_test), len(df_test.columns)))
df_test.head()