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Various Datasets for Machine Learning Research & Teaching

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openintro
openintro
 
 
FMLPDA_Table4_3.csv
FMLPDA_Table4_3.csv
 
 
README.md
README.md
 
 
abolone.csv
abolone.csv
 
 
adult.csv
adult.csv
 
 
ailerons.csv
ailerons.csv
 
 
airline_passenger_satisfaction.csv
airline_passenger_satisfaction.csv
 
 
airlines.csv
airlines.csv
 
 
anneal.csv
anneal.csv
 
 
ar10p.csv
ar10p.csv
 
 
arrhythmia.csv
arrhythmia.csv
 
 
australian.csv
australian.csv
 
 
baby_names_2000.csv
baby_names_2000.csv
 
 
bank_32nh_torgo.csv
bank_32nh_torgo.csv
 
 
bank_marketing.csv
bank_marketing.csv
 
 
baseball.csv
baseball.csv
 
 
birdkeeper_lungcancer.csv
birdkeeper_lungcancer.csv
 
 
boston_housing.csv
boston_housing.csv
 
 
breast_cancer_wisconsin.csv
breast_cancer_wisconsin.csv
 
 
california_housing.csv
california_housing.csv
 
 
carvana_kicks_clean.csv
carvana_kicks_clean.csv
 
 
cdc.csv
cdc.csv
 
 
cdc_sample.csv
cdc_sample.csv
 
 
cll111.csv
cll111.csv
 
 
cnae_9.csv
cnae_9.csv
 
 
coil20.csv
coil20.csv
 
 
compactiv.csv
compactiv.csv
 
 
connect_4.csv
connect_4.csv
 
 
contraceptive.csv
contraceptive.csv
 
 
cpu_act.csv
cpu_act.csv
 
 
credit_german.csv
credit_german.csv
 
 
default_credit_card_clients.csv
default_credit_card_clients.csv
 
 
diabetes.csv
diabetes.csv
 
 
diamonds.csv
diamonds.csv
 
 
diamonds_encoded_scaled_5000.csv
diamonds_encoded_scaled_5000.csv
 
 
donner_party.csv
donner_party.csv
 
 
elevators.csv
elevators.csv
 
 
fabert.csv
fabert.csv
 
 
fb_metrics.csv
fb_metrics.csv
 
 
german.csv
german.csv
 
 
gisette.csv.zip
gisette.csv.zip
 
 
github_dataset_descriptions.ipynb
github_dataset_descriptions.ipynb
 
 
glass.csv
glass.csv
 
 
gli85.csv
gli85.csv
 
 
heart.csv
heart.csv
 
 
heart_failure.csv
heart_failure.csv
 
 
helena.csv
helena.csv
 
 
house_16h.csv
house_16h.csv
 
 
ionosphere.csv
ionosphere.csv
 
 
iris.csv
iris.csv
 
 
isolet.csv
isolet.csv
 
 
jasmine.csv
jasmine.csv
 
 
kobe.csv
kobe.csv
 
 
kr_vs_kp.csv
kr_vs_kp.csv
 
 
libras.csv
libras.csv
 
 
madelon.csv
madelon.csv
 
 
maintenance.csv
maintenance.csv
 
 
melbourne_house_prices.csv
melbourne_house_prices.csv
 
 
mfeat_factors.csv
mfeat_factors.csv
 
 
mortgage.csv
mortgage.csv
 
 
musk.csv
musk.csv
 
 
naval.csv
naval.csv
 
 
nomao.csv
nomao.csv
 
 
online_news_popularity.csv
online_news_popularity.csv
 
 
orl.csv
orl.csv
 
 
parkinsons.csv
parkinsons.csv
 
 
phishing_websites.csv
phishing_websites.csv
 
 
pima.csv
pima.csv
 
 
planes2d.csv
planes2d.csv
 
 
pole_telecomm.csv
pole_telecomm.csv
 
 
prepare_dataset_for_modeling.py
prepare_dataset_for_modeling.py
 
 
puma_32h.csv
puma_32h.csv
 
 
pyrim.csv
pyrim.csv
 
 
residential.csv
residential.csv
 
 
sample_grades.csv
sample_grades.csv
 
 
sonar.csv
sonar.csv
 
 
spambase.csv
spambase.csv
 
 
speed_dating.csv
speed_dating.csv
 
 
superconductivity.csv
superconductivity.csv
 
 
telco_customer_churn.csv
telco_customer_churn.csv
 
 
tox171.csv
tox171.csv
 
 
treasury.csv
treasury.csv
 
 
triazines.csv
triazines.csv
 
 
us_census_income_data_clean.csv
us_census_income_data_clean.csv
 
 
us_census_income_data_clean_encoded.csv
us_census_income_data_clean_encoded.csv
 
 
us_census_income_data_raw.csv
us_census_income_data_raw.csv
 
 
usps.zip
usps.zip
 
 
vehicle.csv
vehicle.csv
 
 
waveform.csv
waveform.csv
 
 
wine.csv
wine.csv
 
 

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datasets

A collection of public datasets for machine learning research & teaching.

Dataset descriptions:

https://github.com/akmand/datasets/blob/main/github_dataset_descriptions.ipynb

Automated script to prepare these datasets for predictive modeling:

https://github.com/akmand/datasets/blob/main/prepare_dataset_for_modeling_github.py

Convention:

  • First row is the header row.
  • Target feature is the last column.
  • There might be missing values.
  • Categorical features are encoded as strings - so that pd.get_dummies() work correctly.

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Various Datasets for Machine Learning Research & Teaching

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