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abisheksudarshan__customer-segmentation
·
8.07k rows
abisheksudarshan__customer-segmentation (8.07k rows)
abrambeyer__openintro-possum (104 rows)
adhoppin__customer-cellular-data (2.6k rows)
adityakadiwal__water-potability (3.28k rows)
anaghakp__adult-income-census (31.9k rows)
antimoni__metabolic-syndrome (2.4k rows)
arashnic__taxi-pricing-with-mobility-analytics (132k rows)
architsharma01__loan-approval-prediction-dataset (4.27k rows)
arnabk123__yield-strength-of-alloys-dataset (160 rows)
ayushtankha__70k-job-applicants-data-human-resource (73.5k rows)
bhuviranga__co2-emissions (7.39k rows)
brsdincer__telescope-spectrum-gamma-or-hadron (19k rows)
caesarlupum__betsstrategy (26k rows)
captainozlem__framingham-chd-preprocessed-data (4.13k rows)
chancev__carsforsale (9.37k rows)
cherngs__heart-disease-cleveland-uci (297 rows)
colearninglounge__predicting-pulsar-starintermediate (12.5k rows)
creepyghost__uci-ionosphere (351 rows)
danushkumarv__glass-identification-data-set (214 rows)
debasisdotcom__parkinson-disease-detection (195 rows)
devvret__congressional-voting-records (435 rows)
devzohaib__eligibility-prediction-for-loan (614 rows)
devzohaib__estimating-the-age-of-abalone-at-a-seafood-farm (4.18k rows)
divyansh22__crystal-system-properties-for-liion-batteries (339 rows)
divyansh22__flight-delay-prediction (1.17M rows)
econdata__climate-change (308 rows)
fedesoriano__hepatitis-c-dataset (615 rows)
fuarresvij__steel-test-data (312 rows)
gauravduttakiit__anuran-call-classification (1.68k rows)
gauravduttakiit__bar-passage-qualification (5k rows)
gauravduttakiit__smoker-status-prediction-using-biosignals (39k rows)
gauravtopre__bank-customer-churn-dataset (10k rows)
gdabhishek__fertilizer-prediction (99 rows)
harish24__music-genre-classification (1k rows)
harlfoxem__housesalesprediction (21.6k rows)
harshsingh2209__medical-insurance-payout (1.34k rows)
henrysue__online-shoppers-intention (12.3k rows)
hiimanshuagarwal__advertising-ef (1.01k rows)
iabhishekofficial__mobile-price-classification (2k rows)
iammustafatz__diabetes-prediction-dataset (100k rows)
imsparsh__churn-risk-rate-hackerearth-ml (37k rows)
imsparsh__jobathon-analytics-vidhya (50.9k rows)
ishadss__productivity-prediction-of-garment-employees (1.2k rows)
ivansher__nasa-nearest-earth-objects-1910-2024 (338k rows)
janiobachmann__bank-marketing-dataset (11.2k rows)
jeevannagaraj__indian-liver-patient-dataset (583 rows)
jillanisofttech__brain-stroke-dataset (4.98k rows)
jinxzed__av-janatahack-crosssell-prediction (381k rows)
juliasuzuki__waze-dataset-to-predict-user-churn (14.3k rows)
kartikjaspal__server-logs-suspicious (173k rows)
kukuroo3__body-performance-data (13.4k rows)
lampubhutia__loandefault-ltfs-avml-finhack (346k rows)
manikantasanjayv__crop-recommender-dataset-with-soil-nutrients (620 rows)
mansoordaku__ckdisease (400 rows)
mathchi__hitters-baseball-data (263 rows)
mdmahmudulhasansuzan__students-adaptability-level-in-online-education (1.21k rows)
mikhail1681__walmart-sales (6.44k rows)
mirlei__hcc-survival-data-set (165 rows)
mitesh58__bollywood-movie-dataset (1.28k rows)
mlg-ulb__creditcardfraud (285k rows)
mnassrib__telecom-churn-datasets (3.33k rows)
mohamedkhaledidris__ofhddd (197k rows)
muhammad4hmed__monkeypox-patients-dataset (25k rows)
muniryadi__gasturbine-co-and-nox-emission-data (36.7k rows)
mysarahmadbhat__lung-cancer (309 rows)
nimapourmoradi__forest-fire-regression (517 rows)
olcaybolat1__dermatology-dataset-classification (366 rows)
pavansubhasht__ibm-hr-analytics-attrition-dataset (1.47k rows)
pcbreviglieri__smart-grid-stability (60k rows)
primaryobjects__voicegender (3.17k rows)
rajgupta2019__qsar-bioconcentration-classes-dataset (779 rows)
raniahelmy__no-show-investigate-dataset (111k rows)
rashikrahmanpritom__heart-attack-analysis-prediction-dataset (303 rows)
redpen12__employees-satisfaction-analysis (15k rows)
reihanenamdari__breast-cancer (4.02k rows)
robikscube__eye-state-classification-eeg-dataset (15k rows)
rohit265__breast-cancer-uci-machine-learning (286 rows)
saadmansakib__smartphone-human-fall-dataset (1.78k rows)
sadeghjalalian__wine-customer-segmentation (178 rows)
sahasourav17__child-sexual-abuse-awareness-knowledge-level (3k rows)
sajidhussain3__jobathon-may-2021-credit-card-lead-prediction (351k rows)
sakshigoyal7__credit-card-customers (10.1k rows)
sammy123__lower-back-pain-symptoms-dataset (310 rows)
sheikhsohelmoon__harry-potters-second-wizard-war-dataset (28 rows)
shibumohapatra__book-my-show (11.1k rows)
shivamb__vehicle-claim-fraud-detection (15.4k rows)
shrushtijoshi__asteroid-impacts (15.6k rows)
shubhamgupta012__titanic-dataset (889 rows)
snassimr__data-for-investing-type-prediction (4.73k rows)
sorkun__aqsoldb-a-curated-aqueous-solubility-dataset (9.98k rows)
sujithmandala__second-hand-car-price-prediction (100 rows)
swatikhedekar__price-prediction-of-diamond (53.9k rows)
teejmahal20__airline-passenger-satisfaction (130k rows)
uciml__default-of-credit-card-clients-dataset (30k rows)
uciml__horse-colic (299 rows)
uciml__pima-indians-diabetes-database (768 rows)
uciml__student-alcohol-consumption (1.04k rows)
ulrikthygepedersen__tic-tac-toe (958 rows)
vicsuperman__prediction-of-music-genre (50k rows)
yasserh__song-popularity-dataset (18.8k rows)
yasserh__wine-quality-dataset (1.14k rows)
yekenot__tree-survival-prediction (2.78k rows)
youssefaboelwafa__hotel-booking-cancellation-prediction (36.3k rows)
Split (2)
train
·
4.82k rows
train (4.82k rows)
test (3.25k rows)
SQL
Console
Gender
string
classes
2 values
Ever_Married
string
classes
2 values
Age
int64
18
89
Graduated
string
classes
2 values
Profession
string
classes
9 values
Work_Experience
float64
0
14
⌀
Spending_Score
string
classes
3 values
Family_Size
float64
1
9
⌀
Var_1
string
classes
7 values
__FeatEng_target__
string
classes
4 values
__index_level_0__
int64
1
8.06k
Female
Yes
53
Yes
Artist
1
Average
3
Cat_6
C
8,030
Female
No
40
Yes
Engineer
6
Low
3
Cat_6
D
8,031
Female
No
42
Yes
Artist
13
Low
1
Cat_6
C
8,034
Female
No
33
Yes
Healthcare
1
Low
3
Cat_6
D
8,035
Female
Yes
56
Yes
Artist
0
Average
5
Cat_6
B
8,036
Male
No
22
No
Healthcare
1
Low
4
Cat_4
D
8,039
Male
Yes
48
Yes
Doctor
5
Average
3
Cat_5
B
8,040
Male
No
19
No
Healthcare
1
Low
7
Cat_4
D
8,041
Female
Yes
60
Yes
Artist
1
Average
2
Cat_6
C
8,042
Male
Yes
55
Yes
Homemaker
1
Average
4
Cat_6
C
8,043
Female
No
28
No
Entertainment
1
Low
2
Cat_3
A
8,046
Female
Yes
57
Yes
Artist
null
High
3
Cat_6
C
8,048
Female
No
40
Yes
Homemaker
9
Low
1
Cat_6
D
8,049
Female
No
49
Yes
Homemaker
0
Low
null
Cat_6
C
8,050
Male
Yes
42
Yes
Artist
0
High
2
Cat_6
B
8,051
Male
Yes
65
Yes
Executive
0
High
4
Cat_6
C
8,053
Female
Yes
39
No
Engineer
1
Average
4
Cat_4
B
8,054
Male
Yes
65
Yes
Artist
0
Average
2
Cat_6
C
8,055
Male
Yes
41
Yes
Artist
8
Average
3
Cat_6
A
8,057
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