Bike Rental Sharing Demand Prediction with Machine Learning

In this 1-hour long project-based course, you will learn how to predict bike sharing demand with machine learning. Bike sharing services enable people to rent a bike from one location and drop it off at another location on an as-needed basis. The objective of this guided project is to predict bike sharing rental usage based on inputs such as temperature, season, humidity, wind speed.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

• Project Overview
• In this project-based course, we will build, train and test a machine learning model to predict bike sharing demand. Bike sharing services enable people to rent a bike from one location and drop it off at another location on an as-needed basis. The objective of this guided project is to predict bike sharing rental usage based on inputs such as temperature, season, humidity, wind speed. This guided project is practical and directly applicable to many industries in which predicting demand is crucial. You can add this project to your portfolio of projects which is essential for your next job interview