Notebook examples from "A Practical Overview of Interpretable Machine Learning" blog post.
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Updated
Jul 8, 2022 - Jupyter Notebook
Notebook examples from "A Practical Overview of Interpretable Machine Learning" blog post.
A brief notebook on Influence Function (IF) for classical generative models (e.g., k-NN, KDE, GMM)
The notebook on the main topic of interpretable machine learning is a descriptive and instructive analysis of a car data set from a public source.
Notebooks for "Interpretable Machine Learning" course at University of Warsaw, 2021. Each homework utilises different XAI and ML techniques on different data sets.
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