Bike Share Efficiency in a Major City (London)
-
Updated
Feb 26, 2019 - Jupyter Notebook
Bike Share Efficiency in a Major City (London)
Panasonic Workshop @ MIT Media Lab
An API build with the Express framework in NodeJS for a webshop with as subject bikes.
Program used to collect data from 3city bikes rental application
bikesharing demand prediction
This project analyzes a bike-sharing dataset to uncover trends in rental counts across seasons, weather, and days. Key insights include peak rental periods and seasonal patterns, aimed at optimizing bike-sharing operations and decision-making.
Tableau project to determine if bringing CitiBike to DesMoines is a solid business proposal
Tweetbot, which does mine data of www.hannah-lastenrad.de and publishes information on next bookable cargo-bike in Hannover, Germany
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.
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.
Machine Learning
Algorithm that attempts to guide a bikeshare truck in its task of optimally re-distributing bikes accross the network.
This project leverages AutoGluon in AWS SageMaker Studio to predict bike sharing demand, automating model training and tuning for accurate forecasting.
An simple example of data exploration and test-driving development
UI screens for a MVP bike sharing application
Add a description, image, and links to the bikesharing topic page so that developers can more easily learn about it.
To associate your repository with the bikesharing topic, visit your repo's landing page and select "manage topics."