text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df_train = pd.read_csv('/kaggle/input/playground-series-s3e13/train.csv').drop(['id'], axis=1)
df_test = pd.read_csv('/kaggle/input/playground-series-s3e13/test.csv').drop(['id'], axis=1)
df_submission = pd.read_csv('/kaggle/input/playground-series-s3e13/sample_submission.csv')

df_train_real = pd.read_csv('/kaggle/input/vector-borne-disease-prediction/trainn.csv')
df_test_real = pd.read_csv('/kaggle/input/vector-borne-disease-prediction/testt.csv')
df_real = pd.concat([df_train_real, df_test_real])

df_train = pd.concat([df_train, df_real])
df_train = df_train.drop_duplicates()

df_train.tail()