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machinelearning-introduction-workshop
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c159c75ae5ebe42dd94cb86ba8a91ff464570759
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14
17-interpretability
60-add-goal-take-home-message-of-each-exercise
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minor text update
Merge branch '36-add-generalised-linear-models-to-regression-script' into 'master'
Merge branch '36-add-generalised-linear-models-to-regression-script' into 'master'
improvements
improvements
mention special metrics for GLMs
mention special metrics for GLMs
integrated suggestions from mik
integrated suggestions from mik
added generalized linear models
added generalized linear models
Merge 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 link
In regression: add metrics link
implemented miks improvements
implemented miks improvements
improved explanations
improved explanations
Merge 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 excercise
In classifiers: bonus Q&A for first excercise
In classification: repeat surface plot explanation sentence in part 2
In classification: repeat surface plot explanation sentence in part 2
In classifiers: part 2 improvements
In classifiers: part 2 improvements
In overfitting: fix run errors and typos, and format code
In overfitting: fix run errors and typos, and format code
In pipelines: add headers to organize content, improve text, and format code
In pipelines: add headers to organize content, improve text, and format code
added scaling motivation
added scaling motivation
introduced MNIST example to show case cross validation
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