Track 11: ML and Deep Learning Foundations for AI Engineers, Classic ML

Trees and Gradient Boosting

Beat a baseline on tabular data.

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Transformers & GPT From Scratch for AI Engineers

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In this module

  1. Supervised vs Unsupervised Learning
  2. Your First Model With scikit-learn
  3. Metrics and Overfitting: Precision, Recall, F1, Validation
  4. Trees and Gradient Boosting

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