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16. Deep Neural Networks/5. Hyperparameters.mp4

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10. MNIST Image Recognition/4. Hyperparameters.mp4

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014.Hyperparameter tuning/043. Hyperparameter tuning I.mp4

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014.Hyperparameter tuning/043. Hyperparameter tuning I.mp4

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11. Milestone Project 1 Supervised Learning (Classification)/15. Tuning Hyperparameters.mp4

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9 - Scikitlearn Creating Machine Learning Models/144 - Tuning Hyperparameters.mp4

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02 - Project 1 Breast Cancer Detection/9 - Hyperparameter Tuning using Randomized search.mp4

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06 - Project 5 E signing of customers based on financial data/33 - Hyperparameter Tuning using Randomized Search.mp4

08 - Project 7 Employee Attrition Prediction/44 - Hyperparameter Tuning using Randomized Search.mp4

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Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.en.srt

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12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/044 Model 7_ Setting up hyperparameters for the N-BEATS algorithm.en.srt

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Module 2 - ML Model Development/Lesson 4 - Choosing and Training Models in SageMaker/006. 4.5 Hyperparameter Tuning with SageMaker Automatic Model Tuning.en.srt

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B1. Image Classification with PyTorch (Janani Ravi, 2019)/5. Building Convolutional Neural Networks for Image Classification/09. Hyperparameter Tuning.mp4

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Section 4/04.22-rfe_hyperparameters.mkv

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5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4

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