Predicting Demand for bike sharing

Bike sharing systems are a means of renting bicycles where the process of obtaining membership, rental, and bike return is automated via a network of small locations throughout a city. Using these systems, people are able to rent a bike from one location and return it at a different location on an as-needed basis. Currently, there are over 500 bike-sharing programs around the world. The data generated by these systems makes them attractive for researchers because the duration of travel, departure location, arrival location, and time elapsed is explicitly recorded. Bike sharing systems therefore function as a sensor network, which can be used for studying mobility in a city. In this project, we use historical usage patterns along with weather data to predict bike rental demand.

Domains

Data mining, Machine Learning

Technologies Needed

Project Structure

What we provide

  • Videos on Required technologies by Ravindrababu Ravula
  • Project Implementation Videos by Ravindrababu Ravula
  • Presentation Slides
  • Assignments with solutions
  • 12 weeks of expert guidance
  • Assistance to Complete the Documentation

Fee Structure

Fee for the Complete Project including the required technical courses is Rs. 20000.00(Please refer to the specific project to know the list of courses included)

Commencement and Validity

  • Programme commences from Jan 1, 2017
  • Validity for video lectures is 6-months from the commencement of the project
  • Expert guidance will be provided only for 12weeks from commencement of the project

Registration procedure

If you are interested in registering, you can make the payment in the following account either through net banking or at your nearest HDFC bank and email us the transaction id or scan copy of the pay-in-slip.
Account Name : Raudra Eduservices Private Limited
Account Number : 50200012182576
Account type : Current account
Bank : HDFC
Branch : JAYABHERI ENCLAVE
RTGS / NEFT IFSC : HDFC0003947
CITY : HYDERABAD
After the payment is done, you can email us the screen shot or picture of transaction details or the pictures of the bank pay in slip at gate2014.ravindra@gmail.com. Once it is done, you will receive an acknowledgement mail regarding your payment status and will be given access to private lecture videos, assignments and source code from Jan 1 2017. You can watch the videos online anytime, anywhere and any number of times. Please note that the videos are not downloadable. Sharing your access or trying to sell or distribute videos is a legally punishable offense. Earlier we caught some people doing this and they were punished legally and a huge penalty was imposed on them.