University · Data Science · Machine Learning Fundamentals

Model Evaluation, Selection, and Regularization

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Train/test split, k-fold cross-validation, stratified sampling, overfitting/underfitting, L1 (Lasso) and L2 (Ridge) regularization, elastic net, early stopping, learning curves, confusion matrix deep dive

Inhaltsübersicht

  • Train-Test Split, Cross-Validation, and Stratified Sampling
  • Overfitting, Underfitting, and the Bias-Variance Tradeoff
  • L1, L2, and Elastic Net Regularization
  • Learning Curves, Confusion Matrices, and Early Stopping
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