R PROGRAMMING
Budget: $30 – $250 USD
R programming A bicycle sharing system, also known as a bike share system, is a transportation service that provides bicycles
for short-term rental to individuals on a pay-per-use basis. The bicycles are typically stationed at multiple
locations throughout a city or region and can be rented by users through a mobile app, website or at a station
using a credit or debit card.
Users can take a bicycle from one location and return it to another, making it an ideal mode of transportation
for short trips or last-mile connectivity. While it is convenient to return a bicycle to another location it can
lead to an imbalance between the supply and demand of bicycles at a specific location. In the worse case, a
specific location might have no bicycles to rent or no available space to drop off a bicycle.
To maintain a balance between demand and supply, bicycle-sharing systems use vehicles to re-distribute
bicycles as needed. To redistribute bicycles effectively, the demand for a bicycle at a specific location must be
forecasted or predicted.
In post-block assignment 3, you will build a machine learning model that can predict the daily bicycle demand
at various locations in London. To build this model, the city of London has supplied you with over 20 million
bicycle transactions for the period 1 January 2017 to 31 December 2018.
for short-term rental to individuals on a pay-per-use basis. The bicycles are typically stationed at multiple
locations throughout a city or region and can be rented by users through a mobile app, website or at a station
using a credit or debit card.
Users can take a bicycle from one location and return it to another, making it an ideal mode of transportation
for short trips or last-mile connectivity. While it is convenient to return a bicycle to another location it can
lead to an imbalance between the supply and demand of bicycles at a specific location. In the worse case, a
specific location might have no bicycles to rent or no available space to drop off a bicycle.
To maintain a balance between demand and supply, bicycle-sharing systems use vehicles to re-distribute
bicycles as needed. To redistribute bicycles effectively, the demand for a bicycle at a specific location must be
forecasted or predicted.
In post-block assignment 3, you will build a machine learning model that can predict the daily bicycle demand
at various locations in London. To build this model, the city of London has supplied you with over 20 million
bicycle transactions for the period 1 January 2017 to 31 December 2018.