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

Predictive model for daily bike rental demand. Utilizes EDA and a Tuned Gradient Boosting Regressor ( R 2 ≈ 0.91 R 2 ≈0.91 ) to forecast demand based on seasonal and weather factors, aiding fleet optimization.

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

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

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.

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.

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).

This project demonstrates an end-to-end analytics workflow using Google BigQuery to analyze bike rental data. The project focuses on uncovering insights related to rental demand, revenue trends, seasonality, and user behavior using advanced SQL techniques including aggregations, joins, CTEs, window functions, and KPI calculations.

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.

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.

A web app that allows users to book bikes in various locations

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

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Bike rental service backend

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

This project is a data visualization tool built using Python and Streamlit. It allows users to explore and analyze data interactively.

A sample bike sharing business proposal using data from a similar business model in New York.

🚴 Full-stack bike rental app with real-time booking, cost calculation, and admin control. Built with React, TypeScript, Redux & Tailwind.

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

Citybee stotelės - auto ir dviračiai

Data exploratory analysis and machine learning on a bike sharing dataset.