Data Science School

ML Overfitting vs Underfitting – Balance is Everything!

In Machine Learning, too much learning is just as bad as too little.
🔴 Overfitting: Your model memorizes everything—even noise!
🔵 Underfitting: Your model learns nothing useful.
🟢 Ideal Fit: Learns the pattern. Predicts the future. Just right.

💡 Key takeaway: Don’t just train a model... train it right.
#MachineLearning #AI #DataScience #Overfitting #Underfitting #MLTips #ModelTraining #AIExplained #TechSimplified

3 months ago | [YT] | 0