_OculusPatchedConfig/platform-tools/systrace/catapult/common/py_vulcanize/third_party/rcssmin/docs/CLASSIFIERS

_OculusPatchedConfig/platform-tools/systrace/catapult/common/py_vulcanize/third_party/rjsmin/docs/CLASSIFIERS

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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/87 - Categorical feature in Treebased classifiers.txt

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19. Support Vector Classifier/1. Support Vector classifiers.mp4

19. Support Vector Classifier/1. Support Vector classifiers.srt

19. Support Vector Classifier/2. Limitations of Support Vector Classifiers.mp4

19. Support Vector Classifier/2. Limitations of Support Vector Classifiers.srt

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04.Understanding and Implementing Classification Models/04.02.Types of Classifiers.mp4

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20. Multiclass Classifiers using Multinomial Logistic Regression/1. Lab Iris Classifcation.mp4

20. Multiclass Classifiers using Multinomial Logistic Regression/2. Lab Train Classifier with Default and Custom Recipe.mp4

20. Multiclass Classifiers using Multinomial Logistic Regression/3. Concept Evaluating Predictive Quality of Multiclass Classifiers.mp4

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2 - Artificial Neural Networks-Introduction/Perceptron for Classifiers.mp4

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10-6. 378 - The classifiers of things, by which I mean... .mp3

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002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4

002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.srt

003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4

003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.srt

004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4

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3. Review of Linear Classifiers/1. Basic Geometry.mp4

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3. Review of Linear Classifiers/2. Normal Vectors.mp4

3. Review of Linear Classifiers/2. Normal Vectors.vtt

3. Review of Linear Classifiers/3. Logistic Regression Review.mp4

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003.Particle identification with machine learning/011. Uniform classifiers.mp4

003.Particle identification with machine learning/011. Uniform classifiers.srt

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12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4

12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt

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002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4

002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.srt

003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4

003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.srt

004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4

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Particle Size Classifiers 2nd ed (1993).pdf

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