Bike Share Efficiency in a Major City (London)
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Updated
Feb 26, 2019 - Jupyter Notebook
Bike Share Efficiency in a Major City (London)
bikesharing demand prediction
An API build with the Express framework in NodeJS for a webshop with as subject bikes.
The purpose of this project was to do an analysis of NYC Citibike traffic to determine what a future business owner needs to prepare for, due to her future investment in a rental bike company in Des Moines.
Exam Project for the Mobile App Development course at ITU - In Kotlin.
UI screens for a MVP bike sharing application
Progetto di Bike Sharing del corso di "Ingegneria del Software" (Unimi, A.A. 2020-2021)
Bratislava bikesharing (Slovnaft Bajk system) scraper app and public stats - Bratislava, Slovakia
You will perform an exploratory analysis on data , You will compare the bike system usage between three large cities: New York City, Chicago, and Washington, DC. You will also see if there are any differences within each system for those users that are registered, regular users and those users that are short-term, casual users.
Algorithm that attempts to guide a bikeshare truck in its task of optimally re-distributing bikes accross the network.
Kaggle's: Machine Learning from Bike Sharing Demend. Demonstrates basic machine learning, analysis, and visualization techniques.
To build a multiple linear regression model for the prediction of demand for shared bikes.
Slides material for the talk "A reproducible bike ride in Hamburg (…or elsewhere in Europe)" at Budapest BI 2017
A simple api to know the closest Bixi bike stations from your location.
Understand what influences bike rental usage. 🚲
In this project I build my first neural network and use it to predict daily bike rental ridership.
Repository to data used in the LABIKS Annual Report, called "Bike Sharing Systemas in Latin America".
Data analysis of Edinburgh bikesharing in python
Bachelor's thesis about comparing different models using RNN for forecasting bike demand in Chicago
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