Case Study Telecom Churn - Notebook by Arijit Das (mail2arijit-das93)

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Updated 4 years ago

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas_profiling as pp
from scipy import stats
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import recall_score 
from sklearn.metrics import precision_score
from sklearn.ensemble import RandomForestClassifier


pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)

df = pd.read_csv('telecom_churn_data.csv')

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-2-756a908e2200> in <module>
      3 import matplotlib.pyplot as plt
      4 import seaborn as sns
----> 5 import pandas_profiling as pp
      6 from scipy import stats
      7 from sklearn.linear_model import LogisticRegression

ModuleNotFoundError: No module named 'pandas_profiling'

import warnings
warnings.filterwarnings('ignore')

df.shape

Original Dataset has 99999 rows and 226 columns

df.head()