AI Project Workflow

The video outlines the workflow of AI projects, starting with data collection and cleaning, followed by training machine learning models. It emphasizes the importance of testing models with new data and tuning hyperparameters to improve performance. Once the model is accurate, it can be deployed. The video concludes with a preview of upcoming classes.

What are hyperparameters and why are they important in machine learning?

Describe the general workflow followed in AI projects as mentioned in the text.