The course provides an opportunity for businesses and learners to collaborate to identify and translate a real business problem into a machine learning problem. The project can be an end-to-end machine learning application, including data preparation, model creation and evaluation and potentially methods for deployment. Project results/ recommendations will be communicated in a final report.

You should submit a high-level proposal/business problem statement including a clear connection to machine learning, relevant data sets and definitions, a list of acceptable tools (if applicable), and expected deliverables. Business datasets could be provided based on a non-disclosure agreement or in an anonymized/synthetic data format that is relevant to your organization and business problem. The course instructor will review the documents to confirm the scope and timing of the proposed problem and its alignment with the course requirements.