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Weird transition in notebook 1 after Iris?
Not good examples for supervised and unsupervised learning in nb1.
Second notebook: why homedir ?
datasets: you can load anything into a numpy array.
Why so much talk up front?
explain Train_test_split fist without arguments
Regression before classification? Neighbors before logistic?
Mse for regression in linear regression Formular but then r2
add precision-recall curve to roc curve stuff
add binary classification confusion matrix before roc curve
trees: max leaf nodes
pca explained variance ratio
cross-validation reimplementation is overkill?
The text was updated successfully, but these errors were encountered:
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Weird transition in notebook 1 after Iris?
Not good examples for supervised and unsupervised learning in nb1.
Second notebook: why homedir ?
datasets: you can load anything into a numpy array.
Why so much talk up front?
explain Train_test_split fist without arguments
Regression before classification? Neighbors before logistic?
Mse for regression in linear regression Formular but then r2
add precision-recall curve to roc curve stuff
add binary classification confusion matrix before roc curve
trees: max leaf nodes
pca explained variance ratio
cross-validation reimplementation is overkill?
The text was updated successfully, but these errors were encountered: