Beautiful, interactive & open bike maps of Brazilian cities. Powered by OpenStreetMap.

Its a Bike-Rental script for FiveM Servers where the player can easily make his way to his location if he don't have any cars

An web based application through which users can rent a bike according to time and can also give their bikes for rent.

Created a bike rental system for commercial usage which shall act as an interface between local bike rental vendors near VIT Vellore campus to the students of the university thus easing the access of more bikes and a transparent system for hiring.

Bike rent system developed as a project for Let's Code's Data Science course

Bike Rental Application with dropwizard and Travis & Heroku Integration, JUnit testing.

Bicycly: Peer-to-peer bike rentals. Mobile app projet made in React Native with @BeniAud, @Willrezi, Alexis, and @jonathanevn

This repository contains a bike rental system and a library management system made in python through Object-Oriented Programming.

Car Rental System (Native WordPress Plugin) is a high quality, native and responsive WordPress plugin to rent a car, created by experienced Silicon Valley engineers.

Vehicle rental project with object-oriented programming.

Bike Rental Service for Kiel. Find or rent bike from nearest store or spot or location

Citybee stotelės - auto ir dviračiai

A data analysis project focused on understanding and predicting bike rental patterns. This project utilizes data processing, visualization, and predictive modeling techniques to gain insights into bike rental usage, fulfilling the final submission requirement for Dicoding Indonesia's Data Analysis course.

Simple bike rental system with OOP

This notebook contains my first case study for my Google’s Data Analytics Professional Certificate. This case study required the analyst to follow to the steps of the data analysis process (ask, prepare, process, analyze, share,and act) for a data set that represents a fictional company, Cyclistic Bike-Share.

Bikes' Rental Analysis - The repository contains data analysis aiming on understanding behavior of people renting bikes in Washington D.C. in years 2012-2018 (based on Capital Bikeshare data).

Time series analysis and forcasting with bike rental data using ARIMA model

Linear Regression model for Bike sharing dataset

This project is to predict number of bikes rented in each bike stations with a temporal granularity of one hour.