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import matplotlib.pyplot as plt

import matplotlib.pyplot as plt

import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

import seaborn as sns

df = pd.read_csv('../input/diabetes-prediction-using-logistic-regression/diabetes-dataset.csv')

df.describe

df.isna().sum()

feature_columns = df[['Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age']]
feature_columns.head()