Index of /videos/courses/specializations/machine_learning/ml-foundations/03_classification-analyzing-sentiment/02_evaluating-classification-models
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05_class-probabilities.ko.txt
2018-03-09 16:00
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05_class-probabilities.en.txt
2018-03-09 16:00
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05_class-probabilities.zh-CN.txt
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05_class-probabilities.vi.txt
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02_whats-a-good-accuracy.ko.txt
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05_class-probabilities.ko.srt
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05_class-probabilities.en.srt
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05_class-probabilities.zh-CN.srt
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02_whats-a-good-accuracy.zh-CN.txt
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02_whats-a-good-accuracy.en.txt
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05_class-probabilities.vi.srt
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01_training-and-evaluating-a-classifier.ko.txt
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01_training-and-evaluating-a-classifier.zh-CN.txt
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02_whats-a-good-accuracy.vi.txt
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01_training-and-evaluating-a-classifier.en.txt
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02_whats-a-good-accuracy.ko.srt
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04_learning-curves.ko.txt
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02_whats-a-good-accuracy.zh-CN.srt
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02_whats-a-good-accuracy.en.srt
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01_training-and-evaluating-a-classifier.vi.txt
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04_learning-curves.zh-CN.txt
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04_learning-curves.en.txt
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03_false-positives-false-negatives-and-confusion-matrices.ko.txt
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03_false-positives-false-negatives-and-confusion-matrices.zh-CN.txt
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02_whats-a-good-accuracy.vi.srt
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03_false-positives-false-negatives-and-confusion-matrices.en.txt
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01_training-and-evaluating-a-classifier.ko.srt
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04_learning-curves.vi.txt
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01_training-and-evaluating-a-classifier.zh-CN.srt
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01_training-and-evaluating-a-classifier.en.srt
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03_false-positives-false-negatives-and-confusion-matrices.vi.txt
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01_training-and-evaluating-a-classifier.vi.srt
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04_learning-curves.ko.srt
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04_learning-curves.zh-CN.srt
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04_learning-curves.en.srt
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03_false-positives-false-negatives-and-confusion-matrices.ko.srt
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03_false-positives-false-negatives-and-confusion-matrices.zh-CN.srt
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04_learning-curves.vi.srt
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03_false-positives-false-negatives-and-confusion-matrices.en.srt
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03_false-positives-false-negatives-and-confusion-matrices.vi.srt
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05_class-probabilities.mp4
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01_training-and-evaluating-a-classifier.mp4
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02_whats-a-good-accuracy.mp4
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03_false-positives-false-negatives-and-confusion-matrices.mp4
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04_learning-curves.mp4
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