esciencecenter-digital-skills scikit-learn-mooc issues

esciencecenter-digital-skills / scikit-learn-mooc

Lesson to teach machine learning in Python with scikit-learn in a 2-day workshop

https://esciencecenter-digital-skills.github.io/scikit-learn-mooc/

Creative Commons Attribution 4.0 International

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Improve setup instructions

#43 svenvanderburg opened 3 months ago
0
Provide clear examples for unsupervised learning

#42 svenvanderburg opened 3 months ago
0
Use copy-pastable code instead of screenshots in 'advanced topics' slides

#41 svenvanderburg opened 6 months ago
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Add module on advanced topics

#40 svenvanderburg closed 6 months ago
1
Improve wording on adapt your first model exercise

#39 svenvanderburg closed 6 months ago
0
Disable jupyter book PR review

#38 svenvanderburg closed 6 months ago
0
Update chapter on selecting the best model to our needs

#37 svenvanderburg closed 6 months ago
1
Adapt episode on numerical data to our needs

#36 svenvanderburg closed 6 months ago
0
Another dataset for final exercise?

#35 svenvanderburg opened 7 months ago
6
Include Bias versus variance trade-off?

#34 svenvanderburg opened 7 months ago
0
Include RandomForestClassifier in training material

#33 svenvanderburg opened 7 months ago
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Setup instructions should use jupyter lab not notebooks

#32 svenvanderburg opened 7 months ago
0
Confusing 'data loaded above' in Exercise : Adapting your first model

#31 svenvanderburg closed 6 months ago
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Add 'setting the stage' slides

#30 svenvanderburg opened 7 months ago
0
Explain linear models right before we use them

#29 svenvanderburg closed 6 months ago
1
Add pointer to linear models slides to table of contents again

#28 maltelueken closed 7 months ago
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Use correct order of topics

#27 svenvanderburg closed 7 months ago
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Fix order of topics

#26 svenvanderburg closed 7 months ago
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GitHub page deployment not up to date

#25 maltelueken closed 6 months ago
1
Automatically run linters also locally?

#24 f-hafner opened 7 months ago
0
Update Data exploration

#23 f-hafner closed 7 months ago
2
Create alternative exercise for M1.05 on boosted decision tree

#22 maltelueken opened 7 months ago
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Remove part on boosted decision tree model

#21 maltelueken closed 7 months ago
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Update machine learning concepts intro

#20 svenvanderburg closed 7 months ago
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Remove under and overfitting from decision trees slides

#19 maltelueken closed 7 months ago
1
Fix sphinx-book-theme requirement

#18 svenvanderburg closed 7 months ago
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Remove points about underfitting from linear models slides

#17 maltelueken closed 7 months ago
0
remove unnecessary notebooks

#16 f-hafner closed 7 months ago
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Fix deployment to GH pages

#15 svenvanderburg closed 7 months ago
1
Remove unnecessary stuff

#14 svenvanderburg closed 7 months ago
0
Episode 11: Concluding remarks

#13 svenvanderburg opened 9 months ago
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Episode 10: Exercise on US Census dataset

#12 svenvanderburg opened 9 months ago
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Episode 9: advanced topics

#11 svenvanderburg closed 6 months ago
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Episode 8 Theory on selectgin the best model

#10 svenvanderburg closed 6 months ago
0
Episode 7: combining numerical and categorical data

#9 svenvanderburg closed 7 months ago
0
Episode 6: Intuitions on tree-based models

#8 svenvanderburg closed 7 months ago
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Episode 5: Handling categorical data

#7 svenvanderburg closed 6 months ago
1
Episode 4: intuitions on linear models

#6 svenvanderburg closed 7 months ago
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Episode 3: Fitting a model on numerical data

#5 svenvanderburg closed 6 months ago
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Episode 2: Data exploration

#4 svenvanderburg closed 7 months ago
0
Episode 1: Machine learning concepts

#3 svenvanderburg closed 7 months ago
0
Remove all unused material

#2 svenvanderburg closed 7 months ago
1
Add instructor notes

#1 svenvanderburg opened 9 months ago
0