machine learning project workflow
Your ML Project Start Is Wrong
Your ML project starts wrong when you begin coding models before setting up a reproducible workflow. Professors see students dive into complex scripts while the missing pipeline guarantees refactoring, broken reproducibility, and lost grades. The Student Trap With Machine Learning Workflows 70% more refactoring time is typical when learners skip