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MH4510 Lecture 7 - part 1: Logistic regression, how it makes its predictions (Fedor Duzhin) View |
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MH4510 Lecture 7 - part 3: Logistic regression with two predictors (Fedor Duzhin) View |
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MH4510 Lecture 2 part 7 - log-odds transformation (Fedor Duzhin) View |
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MH4510 Lecture 5 part 1 - regression tree, how it makes predictions (Fedor Duzhin) View |
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MH4510 Lecture 7 - part 8: softmax and multi-class classification (Fedor Duzhin) View |
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MH4510 Lecture 5 part 4 - tree pruning: regularization for decision trees (Fedor Duzhin) View |
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MH4510 Lecture 6 part 6 - nonlinear decision boundary (Fedor Duzhin) View |
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MH4510 Lecture 7 - part 9: gradient descent and optimizers for gradient descent (Fedor Duzhin) View |
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SML201 log odds (Michael Guerzhoy) View |
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MH4510 Lecture 4 part 1 - cross-validation for variable selection (Fedor Duzhin) View |