Distance-based Models II

12 Novembro 2024, 13:00 • Sara C. Madeira

Distance-based Models II (Clustering): revision of unsupervised learning, introduction to clustering and k-means. Toy examples. The key steps of 1) feature choice and preprocessing and 2) choosing K and their impact on clustering solutions.

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Probabilistic and distance-based models

7 Novembro 2024, 10:30 • Sara C. Madeira

Implementation of Naive Bayes classifier and k-nearest neighbors classifier using sckit-learn.

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Probabilistic and distance-based models

7 Novembro 2024, 09:00 • Sara C. Madeira

Implementation of Naive Bayes classifier and k-nearest neighbors classifier using sckit-learn.

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Probabilistic and distance-based models

5 Novembro 2024, 16:30 • Helena Aidos

Implementation of Naive Bayes classifier and k-nearest neighbors classifier using sckit-learn.

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Probabilistic and distance-based models

5 Novembro 2024, 15:00 • Helena Aidos

Implementation of Naive Bayes classifier and k-nearest neighbors classifier using sckit-learn.

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