Hidden AIking

Shows the usage of aiking library for a notebook without private libraries
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()

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