Master Overfitting (Regularization) in Machine Learning, Deep Learning & LLMs

Struggling with models that ace training data but crash on real-world predictions? This beginner-friendly meetup unlocks regularization techniques—your practical fix for overfitting across classic ML, neural networks, and modern LLMs.
What You'll Gain:

• Spot overfitting fast: High train/low test accuracy? Underfitting too simple? Visual diagnostics + bias-variance intuition.
• L2 Regularization deep dive: undersatnd wi2 to shrink weights
• ML, DL & LLM applications: Weight decay in transformers, dropout for fine-tuning, early stopping for RAG pipelines.
• Hands-on: Overfit → regularized demo on sentiment analysis (your social media analytics wheelhouse).