Bike Sharing System - Washington DC
predict the total count of bikes rented during each hour
@kaggle.itssuru_bike_sharing_system_washington_dc
predict the total count of bikes rented during each hour
@kaggle.itssuru_bike_sharing_system_washington_dc
Bike sharing systems are a new generation of traditional bike rentals where the whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back to another position. Bike-sharing system are meant to rent the bicycle and return to the different place for the bike sharing purpose in Washington DC.
You are provided with rental data spanning for 2 years. You must predict the total count of bikes rented during each hour covered by the test set, using only information available prior to the rental period.
CREATE TABLE test_bikes (
"datetime" TIMESTAMP,
"season" BIGINT,
"holiday" BIGINT,
"workingday" BIGINT,
"weather" BIGINT,
"temp" DOUBLE,
"atemp" DOUBLE,
"humidity" BIGINT,
"windspeed" DOUBLE
);CREATE TABLE train_bikes (
"datetime" TIMESTAMP,
"season" BIGINT,
"holiday" BIGINT,
"workingday" BIGINT,
"weather" BIGINT,
"temp" DOUBLE,
"atemp" DOUBLE,
"humidity" BIGINT,
"windspeed" DOUBLE,
"casual" BIGINT,
"registered" BIGINT,
"count" BIGINT
);Anyone who has the link will be able to view this.