Collection Of Classification & Regression Datasets
This dataset encompasses my collection of classification and regression
@kaggle.balakrishcodes_others
This dataset encompasses my collection of classification and regression
@kaggle.balakrishcodes_others
CREATE TABLE canada_per_capita (
"year" BIGINT,
"per_capita_income_us" DOUBLE,
"unnamed_2" VARCHAR
);
CREATE TABLE carprices (
"car_model" VARCHAR,
"mileage" BIGINT,
"sell_price" BIGINT,
"age_yrs" BIGINT
);
CREATE TABLE customer (
"customer_id" VARCHAR,
"customer_name" VARCHAR,
"segment" VARCHAR,
"age" BIGINT,
"country" VARCHAR,
"city" VARCHAR,
"state" VARCHAR,
"postal_code" BIGINT,
"region" VARCHAR
);
CREATE TABLE daily_min_temperatures (
"date" TIMESTAMP,
"temp" DOUBLE
);
CREATE TABLE daily_total_female_births_ca (
"date" TIMESTAMP,
"births" BIGINT
);
CREATE TABLE hiring (
"experience" VARCHAR,
"test_score" DOUBLE,
"interview_score" BIGINT,
"salary" BIGINT
);
CREATE TABLE house_votes_84 (
"party" VARCHAR,
"infant" VARCHAR,
"water" VARCHAR,
"budget" VARCHAR,
"physician" VARCHAR,
"salvador" VARCHAR,
"religious" VARCHAR,
"satellite" VARCHAR,
"aid" VARCHAR,
"missile" VARCHAR,
"immigration" VARCHAR,
"synfuels" VARCHAR,
"education" VARCHAR,
"superfund" VARCHAR,
"crime" VARCHAR,
"dutyfree_exports" VARCHAR
);
CREATE TABLE house_price (
"price" DOUBLE,
"crime_rate" DOUBLE,
"resid_area" DOUBLE,
"air_qual" DOUBLE,
"room_num" DOUBLE,
"age" DOUBLE,
"dist1" DOUBLE,
"dist2" DOUBLE,
"dist3" DOUBLE,
"dist4" DOUBLE,
"teachers" DOUBLE,
"poor_prop" DOUBLE,
"airport" VARCHAR,
"n_hos_beds" DOUBLE,
"n_hot_rooms" DOUBLE,
"waterbody" VARCHAR,
"rainfall" BIGINT,
"bus_ter" VARCHAR,
"parks" DOUBLE
);
CREATE TABLE insurance_data (
"age" BIGINT,
"bought_insurance" BIGINT
);
CREATE TABLE mba_admissions (
"pre_score" DOUBLE,
"age_in_years" BIGINT,
"percentage_in_10_class" DOUBLE,
"percentage_in_12_class" DOUBLE,
"percentage_in_under_graduate" DOUBLE,
"percentage_mba" DOUBLE,
"post_score" DOUBLE,
"gender" VARCHAR,
"state" VARCHAR,
"previous_degree" VARCHAR,
"marital_status" VARCHAR,
"place_you_belong_to" VARCHAR,
"perceived_job_skill" VARCHAR,
"specialization" VARCHAR
);
CREATE TABLE movie_classification (
"marketing_expense" DOUBLE,
"production_expense" DOUBLE,
"multiplex_coverage" DOUBLE,
"budget" DOUBLE,
"movie_length" DOUBLE,
"lead_actor_rating" DOUBLE,
"lead_actress_rating" DOUBLE,
"director_rating" DOUBLE,
"producer_rating" DOUBLE,
"critic_rating" DOUBLE,
"trailer_views" BIGINT,
"n_3d_available" VARCHAR,
"time_taken" DOUBLE,
"twitter_hastags" DOUBLE,
"genre" VARCHAR,
"avg_age_actors" BIGINT,
"num_multiplex" BIGINT,
"collection" BIGINT,
"start_tech_oscar" BIGINT
);
CREATE TABLE nih_labels (
"image_index" VARCHAR,
"follow_up" BIGINT,
"patient_id" BIGINT,
"patient_age" VARCHAR,
"patient_gender" VARCHAR,
"view_position" VARCHAR,
"cardiomegaly" DOUBLE,
"emphysema" DOUBLE,
"effusion" DOUBLE,
"hernia" DOUBLE,
"infiltration" DOUBLE,
"mass" DOUBLE,
"nodule" DOUBLE,
"atelectasis" DOUBLE,
"pneumothorax" DOUBLE,
"pleural_thickening" DOUBLE,
"pneumonia" DOUBLE,
"fibrosis" DOUBLE,
"edema" DOUBLE,
"consolidation" DOUBLE,
"fold" VARCHAR
);
CREATE TABLE salaries (
"company" VARCHAR,
"job" VARCHAR,
"degree" VARCHAR,
"salary_more_then_100k" BIGINT
);
CREATE TABLE shampoo (
"month" VARCHAR,
"sales" DOUBLE
);
CREATE TABLE us_airlines_monthly_aircraft_miles_flown (
"month" VARCHAR,
"milesmm" BIGINT
);
CREATE TABLE xrayfull (
"image_index" VARCHAR,
"fold" VARCHAR,
"cardiomegaly" DOUBLE,
"emphysema" DOUBLE,
"effusion" DOUBLE,
"hernia" DOUBLE,
"infiltration" DOUBLE,
"mass" DOUBLE,
"nodule" DOUBLE,
"atelectasis" DOUBLE,
"pneumothorax" DOUBLE,
"pleural_thickening" DOUBLE,
"pneumonia" DOUBLE,
"fibrosis" DOUBLE,
"edema" DOUBLE,
"consolidation" DOUBLE
);
Anyone who has the link will be able to view this.