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import numpy as np
import pandas as pd
import datetime
from datetime import date
import matplotlib
import seaborn as sns
import matplotlib.pyplot as plt
import plotly.graph_objects as go
from sklearn.preprocessing import StandardScaler, normalize
from sklearn import metrics
from sklearn.mixture import GaussianMixture
from mlxtend.frequent_patterns import apriori
from mlxtend.frequent_patterns import association_rules
import warnings
warnings.filterwarnings('ignore')
data=pd.read_csv('marketing_campaign.csv',header=0,sep=';')
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