28/05/2026
❌ Stop making these Machine Learning rookie mistakes!
When you are first starting out in ML, it is incredibly easy to fall into common traps—whether it's overfitting your data, neglecting data preprocessing, or jumping straight into complex models before mastering the basics.
The good news? You don't have to learn the hard way.
In this carousel, we break down the most common mistakes beginners make in Machine Learning and, more importantly, how you can avoid them to build better, more robust models. 🧠💡
👉 Swipe through to save yourself hours of debugging!
What is one mistake you wish you had avoided when you started your tech journey? Let us know in the comments! 👇
