Madhivarman

import tensorflow as tf 
import os

from tensorflow.python.keras.applications import ResNet50
from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.layers import Dense, Flatten, GlobalAveragePooling2D

from tensorflow.python.keras.applications.resnet50 import preprocess_input
from tensorflow.python.keras.preprocessing.image import ImageDataGenerator

Madhivarman

import pandas as pd
import numpy as np

#create a dummy data
user_id = [x for x in range(10000)]
recency = np.random.randint(low=1, high=10, size=10000)
monetary = np.random.randint(low=1, high=10, size=10000)
frequency = np.random.randint(low=1, high=10, size=10000)

Madhivarman

import time
import datetime
import os
import pandas as pd
from multiprocessing import Process, Queue, current_process

def do_something(fromprocess):
    time.sleep(1)
    print("Operation Ended for Process:{}, process Id:{}".format(
        current_process().name, os.getpid()