gheisenberg / AML Public

This repo contains all exercises of the Advanced Machine Learning course (AML).

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Name		Name	Last commit message	Last commit date
Latest commit History 64 Commits
data		data
images		images
Ex1.StdDev.ipynb		Ex1.StdDev.ipynb
Ex10.SampleSolution-ShapleyValues.ipynb		Ex10.SampleSolution-ShapleyValues.ipynb
Ex10.ShapleyValues.ipynb		Ex10.ShapleyValues.ipynb
Ex11.InterpretableML.with.LIME.ipynb		Ex11.InterpretableML.with.LIME.ipynb
Ex12.ReinforcementLearning.FrozenLakeGame.ipynb		Ex12.ReinforcementLearning.FrozenLakeGame.ipynb
Ex13.ReinforcementLearning.Q-Table_learning.ipynb		Ex13.ReinforcementLearning.Q-Table_learning.ipynb
Ex2.boxplot.ipynb		Ex2.boxplot.ipynb
Ex3.DBScanClustering.ipynb		Ex3.DBScanClustering.ipynb
Ex4.IsolationForest.ipynb		Ex4.IsolationForest.ipynb
Ex5.RobustRandomCutForest.ipynb		Ex5.RobustRandomCutForest.ipynb
Ex6.AutoEncoder.ipynb		Ex6.AutoEncoder.ipynb
Ex6.HelperCode-DataAugmentation.ipynb		Ex6.HelperCode-DataAugmentation.ipynb
Ex6.SampleSolution-DomainAdaptionAutoencoder.ipynb		Ex6.SampleSolution-DomainAdaptionAutoencoder.ipynb
Ex7.VariationalAutoEncoder.ipynb		Ex7.VariationalAutoEncoder.ipynb
Ex8.Regular.GenerativeAdversarialNetwork.ipynb		Ex8.Regular.GenerativeAdversarialNetwork.ipynb
Ex9.PDP.and.ICE.ipynb		Ex9.PDP.and.ICE.ipynb
InterpretableML.with.LIME.TabularData.ipynb		InterpretableML.with.LIME.TabularData.ipynb
README.md		README.md
utils.py		utils.py