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Machine Learning: Testing and Error Metrics

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A friendly journey into the process of evaluating and improving machine learning models.
- Training, Testing
- Evaluation Metrics: Accuracy, Precision, Recall, F1 Score
- Types of Errors: Overfitting and Underfitting
- Cross Validation and K-fold Cross Validation
- Model Evaluation Graphs
- Grid Search

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Видео Machine Learning: Testing and Error Metrics канала Serrano.Academy
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Информация о видео
16 марта 2017 г. 13:02:52
00:44:43
Яндекс.Метрика