This project use preivous rental bike demand and weather infomation to predict the number of rental bicycles demand in the future.

Use Linear Regression with feature selection to build predictive model.

Use shiny library to build and deploy app.

link demo: https://blueelf246.shinyapps.io/bike_sharing_demand_shiny/

Because data is collected by api in OpenWeather website, the data is indeed real-time

Data collection -> Data Cleaning -> Data Analysis -> Building Model -> Building App -> Writing Report

The language I used is R

This is the project from Capstone Project Course(IBM) in Coursera.