Created
December 31, 2019 17:58
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AWS Cloud Journey - Analyzing to Deploying Models with Amazon SageMaker (Ep. 1)
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################################################ | |
# Import the typical Python libraries | |
################################################ | |
import pandas as pd | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import io | |
import os | |
import sys | |
import time | |
import json | |
from IPython.display import display | |
from time import strftime, gmtime | |
################################################ | |
# Import the AWS SDK for Python | |
# https://aws.amazon.com/sdk-for-python/ | |
################################################ | |
import sagemaker | |
from sagemaker.predictor import csv_serializer |
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