Bike sharing prediction based on neural nets

Python script written to explore US bikeshare data

OpenAPI description for MDS data feeds, managed by the Open Mobility Foundation.

Clustering Bike Share Toronto time series data to identify temporal behavioural motifs.

An implementation of the Ant Colony optimization algorithm (ACO) for the capacitated vehicle routing problem (CVRP) for bike sharing rebalancing

Python3 library for working with the Philadelphia Indego Bike Share API

The repository is for dublin bikes app. Look at Wiki for development progress. Website shut down due to insufficient aws creds :(

Linear Regression model for Bike sharing dataset

Forecast use of a city bikeshare system (Kaggle.com project)

This repository contains code to retrieve bike counter and bike share trip data from various cities across North America and Europe. Currently this repository is a work in progress.

This project was the second project in my data analysis nanodegree

Bike Sharing in Washington D.C.

Collect and pre-process historical trip data from major bike sharing companies

Simple neural network using vanila numpy

Bike-Share is a project that allows you to explore data of the US bike-share system statistically.

Algorithm that attempts to guide a bikeshare truck in its task of optimally re-distributing bikes accross the network.

This repository is done as part of my Data Analyst Nanoodegree at Udacity, a modular program written in python 3 to help users interact with and explore US Bike-Share data of 3 major cities .

Simulation of Toronto's bike share network