Pinned Repositories
DataScience-HWR
DataScience2018
course material for LV581092
markusloecher.github.io
rgooglemaps
Rworkshop
SCMHRD2019
markusloecher's Repositories
markusloecher/rgooglemaps
markusloecher/DataScience2018
course material for LV581092
markusloecher/DataScience-HWR
markusloecher/markusloecher.github.io
markusloecher/Python-Workshop
markusloecher/adaptive-HS
markusloecher/AnalyticsLab2019
markusloecher/AugmentedHierarchicalShrinkage
Augmented Hierarchical Shrinkage - Development of a post-hoc regularization method based on sample size and node-wise degree of overfitting for random forests
markusloecher/bandits
markusloecher/cpi_markus
CPI: Conditional Predictive Impact
markusloecher/explainableAI_varImpact
markusloecher/gamblers-ruin
A Shiny App for educational purposes: https://nbwr.shinyapps.io/gamblers-ruin/
markusloecher/General-Interest
markusloecher/makeyourownneuralnetwork
Code for the Make Your Own Neural Network book
markusloecher/ML_talks
markusloecher/openintro-statistics
📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.
markusloecher/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
markusloecher/randomness-as-regularization
This contains codes for simulations in the RaR paper
markusloecher/reproducible_research
markusloecher/rfVarImpOOB
OOB based variable importance in Random Forests
markusloecher/shap
A game theoretic approach to explain the output of any machine learning model.
markusloecher/ShinyApps
shiny apps mainly for educational purpose
markusloecher/shrunk_SHAP
code for ASTA paper
markusloecher/Teaching
LV 682098 at HWR Berlin
markusloecher/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
markusloecher/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
markusloecher/tidy-text-mining
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
markusloecher/TreeBasedModel
Checking purpose
markusloecher/treeexplainer-study
Code and documentation for experiments in the TreeExplainer paper
markusloecher/treeinterpreter