How to Create Winning ML Models by Avoiding Overfit & Underfit

Making accurate predictions can be difficult to do. In data analytics we can strengthen our predictions by ensuring our models strike the right balance between being underfit and being overfit. Understanding the pitfalls of each category and finding the right trade-off is important for the creation of robust predictions.