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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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