What is machine learning pivoting?

What is machine learning pivoting?

Machine learning pivoting refers to the process of adjusting your model or approach based on new insights or data.

Can you give me an example of when to pivot in a project?

Sure! If your model's accuracy is stagnating, you might pivot by trying a different algorithm or feature set.

How do I know if my model needs a pivot?

You should consider pivoting if you're not seeing improvements in performance metrics or if the data landscape changes.

What are some common pitfalls when pivoting?

Common pitfalls include not fully understanding the new direction, rushing the pivot, or ignoring previous learnings.