application_vnd.jupyter.stderr_output_1.png
import pandas as pd

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

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
train = pd.read_csv('/kaggle/input/mobile-price-classification/train.csv')
train

train.isnull().sum()

Q1 = train['fc'].quantile(0.25)
Q3 = train['fc'].quantile(0.75)
IQR = Q3 - Q1
train = train[(train['fc'] >= Q1 - 1.5 * IQR) & (train['fc'] <= Q3 + 1.5 * IQR)]

train.info()