Beautiful, interactive & open bike maps of Brazilian cities. Powered by OpenStreetMap.
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.
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 Rental Application with dropwizard and Travis & Heroku Integration, JUnit testing.
Predict the net rate of bike renting
Bicycly: Peer-to-peer bike rentals. Mobile app projet made in React Native with @BeniAud, @Willrezi, Alexis, and @jonathanevn
Linear Regression model for Bike sharing dataset
Vehicle rental project with object-oriented programming.
Bike rent system developed as a project for Let's Code's Data Science course
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).
A simple Vehicle Rental System in Python that allows users to rent and return vehicles, view available options, and calculate rental earnings. It features age verification, stores data in text files, and includes admin functionality for PIN code management. Console-based interaction.
This repository contains a bike rental system and a library management system made in python through Object-Oriented Programming.
This repository features SQL-based analysis on bike rentals and the NFT market. The bike rental project explores customer trends, peak rental times, and revenue insights, while the NFT case study analyzes sales trends, blockchain transactions, and market dynamics. Built using SQL queries for data cleaning, aggregation, and joins in MySQL.
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.
Bike Rental Service for Kiel. Find or rent bike from nearest store or spot or location
Time series analysis and forcasting with bike rental data using ARIMA model
This project is to predict number of bikes rented in each bike stations with a temporal granularity of one hour.
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.
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