In this liveProject, you’ll step into the role of a developer working for car rental company CarsUnlimited. You have a bold new idea for an app that can revolutionize your business. You envisage a service where a customer can snap a picture of any car on the street, and instantly find out if CarsUnlimited has that make and model available. Your colleagues have the app UI covered; your challenge is to build the algorithm to classify the cars that were snapped by the user. You decide to develop a machine learning algorithm for solving this problem.
You’ll start with cleaning your data, before experimenting with classical machine learning algorithms such as SVMs, Random Forests, Decision Trees, and assess their performance metrics. With an entire range of parameters to tune and improve, you will learn about how to automate this search. From there, you’ll dive into building a deep neural network and explore different search strategies to finalize your powerful new neural network architecture.
This project is designed for learning purposes and is not a complete, production-ready application or solution.