better example for crossvalidattion + other ideas
- more detailed explanation : fit happens inside function call for cross_val score
- digits classification in examples
KNN: diagram with one circle scaled.
linear classifiers: coefficients have meaning (weights).
logreg: regress on class probabilities + threshold.
classifier: full optional sections with theory
rbf: iso maps, also for loss + penalty landscape.
classifiers: first general idea with plots, then parameters of the method, then theory.
todo: pydot into conda env yaml file
Edited by schmittu