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11min chapter
681: XGBoost: The Ultimate Classifier, with Matt Harrison
Super Data Science: ML & AI Podcast with Jon Krohn
Optimizing Model Performance with Hyperparameter Tuning
Exploration of hyperparameters in machine learning models, with a focus on strategies for tuning to prevent overfitting and improve model accuracy. Discussion on utilizing tools like GridSearch and the HyperOpt library for efficient optimization of hyperparameter values, along with insights on the importance of variable learning rates in deep learning models.
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