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A2. Building Classification Models with scikit-learn (Janani Ravi, 2019)/5. Hyperparameter Tuning for Classification Models/1. Module Overview.mp4

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07 Matrix Factorization Methods/047 [Exercise] Tune the hyperparameters on SVD-en.srt

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Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/005. k-Nearest Neighbors Algorithm - Hyperparameters and Hyperpar.mp4

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06 - Hyperparameter Tuning and Learning Rate Scheduling/001 Introduction to Hyperparameter Tuning and Learning Rate Recap.mp4

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17 - Random Forests/003 Random Forests - Key Hyperparameters.mp4

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24 - DBSCAN - Density-based spatial clustering of applications with noise/004 DBSCAN - Hyperparameter Theory.mp4

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24 - DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4

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~Get Your Files Here !/06 - 5. Best Practices for Optimizing a Neural Network/02 - Hyperparameters and neural networks.mp4

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10. Deep Learning and Neural Networks/15. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4

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08. Deep Q-Learning Implementation/18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.mp4

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11 Classical Q Learning/008 Q-Learning Implementation - Part Two - Table and Hyperparameters.en.srt

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12 Deep Q-Learning/010 DQN Manual Implementation - Part Three - Hyperparameters and Functions.en.srt

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~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/01 - Parameters versus hyperparameters.mp4

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~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/02 - Key hyperparameters in deep learning.mp4

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

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10. Logistic Regression/4. Hyperparameter tuning using Grid search.mp4

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18. Build a Python Random Forest Classification Model/6. Bonus Hyperparameter Tuning Video.mp4

34. Tune Hyperparameters and Analyze Fit with PyTorch/1. Introduction.mp4

34. Tune Hyperparameters and Analyze Fit with PyTorch/2. Review Explore Multi-class Classification with PyTorch.mp4

34. Tune Hyperparameters and Analyze Fit with PyTorch/3. Create, Preprocess, and Visualize the Spiral Dataset.mp4

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Section 4/04.22-rfe_hyperparameters.mkv

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Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/3. Clustering Using Unsupervised Learning/06. Hyperparameter Tuning.mp4

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~Get Your Files Here !/14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4

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~Get Your Files Here !/04 How to make neural networks work in reality/007 Hyperparameter tuning strategies.en.srt

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11 - Milestone Project 1 Supervised Learning Classification/168 - Tuning Hyperparameters Arabic.vtt

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16 - Feedforward Artificial Neural Networks/015 Aside How to Choose Hyperparameters (Optional).mp4

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