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Created with Raphaël 2.2.04Mar32119Feb1210415Jan12114325Nov242216Sep151312111098653228Aug2726232221151125Jun21May8765432130Apr292827262524171615149875121Mar201914128Feb25201127Jan238729Dec28121127Nov23825Sep2421191476Merge branch '40-improve-score-explanations-in-regression-chapter' into 'master'Merge branch '40-improve-score-explanations-in-regression-chapter' into 'master'In regression: add metrics linkIn regression: add metrics linkimplemented miks improvementsimplemented miks improvementsimproved explanationsimproved explanationsMerge branch '8-better-example-for-crossvalidattion-other-ideas' into 'master'Merge branch '8-better-example-for-crossvalidattion-other-ideas' into 'master'Merge branch '41-improvements-in-decision-trees-classification-part-2-script' into 'master'Merge branch '41-improvements-in-decision-trees-classification-part-2-script' into 'master'Merge branch '21-add-in-intro-how-to-represent-a-categorical-feature-as-a-numeric-feature-onehotencoder' into 'master'Merge branch '21-add-in-intro-how-to-represent-a-categorical-feature-as-a-numeric-feature-onehotencoder' into 'master'Resolve "add in intro "How to represent a categorical feature as a numeric feature?" (OneHotEncoder)"Resolve "add in intro "How to represent a categorical feature as a numeric feature?" (OneHotEncoder)"In classifiers: bonus Q&A for first excerciseIn classifiers: bonus Q&A for first excerciseIn classification: repeat surface plot explanation sentence in part 2In classification: repeat surface plot explanation sentence in part 2In classifiers: part 2 improvementsIn classifiers: part 2 improvementsIn overfitting: fix run errors and typos, and format codeIn overfitting: fix run errors and typos, and format codeIn pipelines: add headers to organize content, improve text, and format codeIn pipelines: add headers to organize content, improve text, and format codeadded scaling motivationadded scaling motivationintroduced MNIST example to show case cross validationintroduced MNIST example to show case cross validationenvironment for Linux+Mac for the March 2021 workshopenvironment for Linux+Mac for the March 2021 workshopAdd missing confusion matrix image foor Iris dataset from #23Add missing confusion matrix image foor Iris dataset from #23Merge branch '39-convert-svg-to-png-images-in-cross-validation-explanations' into 'master'Merge branch '39-convert-svg-to-png-images-in-cross-validation-explanations' into 'master'fixed another image which I forgot in the last commitfixed another image which I forgot in the last commitMerge branch '39-convert-svg-to-png-images-in-cross-validation-explanations' of sissource.ethz.ch:sis/courses/machinelearning-introduction-workshop into 39-convert-svg-to-png-images-in-cross-validation-explanationsMerge branch '39-convert-svg-to-png-images-in-cross-validation-explanations' of sissource.ethz.ch:sis/courses/machinelearning-introduction-workshop into 39-convert-svg-to-png-images-in-cross-validation-explanations
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