Validation checks for EIOPA technical submissions written and documented in Jupyter notebooks.
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Updated
Sep 30, 2023 - Jupyter Notebook
Validation checks for EIOPA technical submissions written and documented in Jupyter notebooks.
The study Machine-Learning Methods for Insurance Applications is dedicated to the question of how new developments in the collection of data and their evaluation in the context of Data Science in the actuarial world can be utilized. The results of the study are based on the R language, so the first goal of this work is to reproduce the calculati…
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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.
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