Evaluation in NLPDelves into NLP evaluation, covering gold standards, precision, recall, and statistical significance.
Prediction testsExplores out-of-sample validation and the methodology of cross-validation for testing predictive models.
Decision Trees: ClassificationExplores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.
Model EvaluationExplores underfitting, overfitting, hyperparameters, bias-variance trade-off, and model evaluation in machine learning.
