text_plain_output_1.png
import matplotlib.pyplot as plt

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

import seaborn as sns

df_train = pd.read_csv('../input/train.csv')
df_test = pd.read_csv('../input/test.csv')

list(df_train.columns)

df_train.isna().sum()

df_train.isnull().any().any()

df_train1 = df_train.drop(['belongs_to_collection'], axis=1)
df_test = df_test.drop(['belongs_to_collection'], axis=1)

sns.distplot(df_train.popularity)