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explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.dash_oop_components
OOP components for plotly dash that make dashboard components composable, reusable and configurablerule_estimator
A scikit-learn compatible estimator based on business-rules with interactive dashboard includeddash_querystrings
Example of how to include querystrings to save state url in plotly's Dashexplainingtitanic
A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etckeras-embeddings
Example of how to use entity embeddings (similar to word embeddings such as word2vec, but then generalized for any categorical feature) in a Keras model.dash_oop_demo
Deployment example of dash_oop_components librarysagemaker-creditscore-explainer
Example of how to deploy an ML algorithm together with SHAP explanations to AWS Sagemaker, including a front end dashboard.dash-tabs
Example of how to use tabs in a plotly's Dash framework across multiple filesblog
Repository that hosts my blog (created using fastpages)deploy-xgboost-to-aws-lambda
short guide on how to deploy xgboost machine learning models to production on AWS lambdapython-datascience-course
notebooks for internal Python for Datascience course that I teach at UWV.oegedijk
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