Dataset: Rental Bike Share Prediction Mini Project

About this Dataset

Rental Bike Share Prediction Mini Project

Context:

Bike sharing systems are new generation of traditional bike rentals where 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 at another position. Currently, there are about over 500 bike-sharing programs around the world which is composed of over 500 thousands bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues. Apart from interesting real world applications of bike sharing systems, the characteristics of data being generated by these systems make them attractive for the research.

Content:
The Dataset you can get through this link: Dataset

Predict the total count of bikes rented during each hour.

Tables

Hour

@kaggle.swatikhedekar_rental_bike_share.hour

244.89 KB
17379 rows
17 columns


CREATE TABLE hour (
  "instant" BIGINT,
  "dteday" TIMESTAMP,
  "season" BIGINT,
  "yr" BIGINT,
  "mnth" BIGINT,
  "hr" BIGINT,
  "holiday" BIGINT,
  "weekday" BIGINT,
  "workingday" BIGINT,
  "weathersit" BIGINT,
  "temp" DOUBLE,
  "atemp" DOUBLE,
  "hum" DOUBLE,
  "windspeed" DOUBLE,
  "casual" BIGINT,
  "registered" BIGINT,
  "cnt" BIGINT
);