Overfitting & Underfitting in ML Explained in simple Telugu | Bias Variance Tradeoff | Sangeeth

🎯 In this long video, I explain the Bias-Variance Tradeoff in simple Telugu with easy examples—so you can confidently answer interviews and build models that generalize well.

✅ What you’ll learn:

What is Bias and what is Variance

Overfitting vs Underfitting with clear intuition

Train error vs Test error (how to diagnose the problem)

How model complexity affects performance

Practical fixes:

More data / data augmentation

Regularization (Ridge/Lasso)

Simpler model vs better features

Cross-validation

Early stopping (concept)

Interview-ready understanding + common misconceptions

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Видео Overfitting & Underfitting in ML Explained in simple Telugu | Bias Variance Tradeoff | Sangeeth канала AI School of India