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from flask import Flask, render_template, request | |
import jsonify | |
import requests | |
import pickle | |
import numpy as np | |
import sklearn | |
import matplotlib | |
from sklearn.preprocessing import StandardScaler | |
app = Flask(__name__) | |
model = pickle.load(open('Customer_Churn_Prediction.pkl', 'rb')) |
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