Hidden AIking

import pathlib
import os
import seaborn as sns
import pandas as pd

data_dir = pathlib.Path(os.getenv('DATA_DIR', "/kaggle/input")); 
path = data_dir/"spaceship-titanic"
list(path.glob("*.csv"))

[PosixPath('/kaggle/input/spaceship-titanic/sample_submission.csv'),
 PosixPath('/kaggle/input/spaceship-titanic/test.csv'),
 PosixPath('/kaggle/input/spaceship-titanic/train.csv')]

df = pd.read_csv(path/"train.csv")
df.head()

	PassengerId	HomePlanet	CryoSleep	Cabin	Destination	Age	VIP	RoomService	FoodCourt	ShoppingMall	Spa	VRDeck	Name	Transported
0	0001_01	Europa	False	B/0/P	TRAPPIST-1e	39.0	False	0.0	0.0	0.0	0.0	0.0	Maham Ofracculy	False
1	0002_01	Earth	False	F/0/S	TRAPPIST-1e	24.0	False	109.0	9.0	25.0	549.0	44.0	Juanna Vines	True
2	0003_01	Europa	False	A/0/S	TRAPPIST-1e	58.0	True	43.0	3576.0	0.0	6715.0	49.0	Altark Susent	False
3	0003_02	Europa	False	A/0/S	TRAPPIST-1e	33.0	False	0.0	1283.0	371.0	3329.0	193.0	Solam Susent	False
4	0004_01	Earth	False	F/1/S	TRAPPIST-1e	16.0	False	303.0	70.0	151.0	565.0	2.0	Willy Santantines	True

df['RoomService'].plot.hist()

<AxesSubplot:ylabel='Frequency'>

from aiking.integrations.kaggle import push2kaggle, get_kaggle_kernel_with_metadata
# meta, nb = get_kaggle_kernel_with_metadata('hidden_aiking.ipynb'); nb
push2kaggle('hidden_aiking.ipynb')

Kernel version 5 successfully pushed.  Please check progress at https://www.kaggle.com/code/rahuketu86/hidden-aiking