from aiking.data.external import *
from aiking.core import aiking_settings
import pathlib
# kaggle datasets download -d dansbecker/hospital-readmissions
from aiking.data.external import *
= untar_data("kaggle_datasets::dansbecker/hospital-readmissions");
path print(path.ls())
[Path('/Users/rahul1.saraf/rahuketu/programming/AIKING_HOME/data/hospital-readmissions/train.csv')]
# kaggle datasets download -d dansbecker/new-york-city-taxi-fare-prediction
= untar_data("kaggle_datasets::dansbecker/new-york-city-taxi-fare-prediction");
path print(path.ls())
[Path('/Users/rahul1.saraf/rahuketu/programming/AIKING_HOME/data/new-york-city-taxi-fare-prediction/train.csv')]
# kaggle datasets download -d mathan/fifa-2018-match-statistics
= untar_data("kaggle_datasets::mathan/fifa-2018-match-statistics");
path print(path.ls())
[Path('/Users/rahul1.saraf/rahuketu/programming/AIKING_HOME/data/fifa-2018-match-statistics/FIFA 2018 Statistics.csv')]
import pandas as pd
pd.Series(list_ds())
0 Artsie2
1 Artsie
2 .DS_Store
3 BirdsVsForestsLake
4 fifa-2018-match-statistics
5 spooky
6 hospital-readmissions
7 DoppelGanger.bcp
8 geospatial-learn-course-data
9 bluebook-bulldozer-remix
10 new-york-city-taxi-fare-prediction
11 DoppelGanger
12 titanic
13 BirdsVsForest
14 spaceship-titanic
15 PandemicSafety
16 Bears
17 BirdsVsForests
dtype: object
'fifa-2018-match-statistics') get_ds(
Path('/Users/rahul1.saraf/rahuketu/programming/AIKING_HOME/data/fifa-2018-match-statistics')