TL;DR —
This article will introduce yet another implementation of Decision Trees, which I wrote as part of my thesis. The work will be divided into three chapters as follows: The motivation behind the project is to implement an ML-model, where HDTree is an optional ingredient. The implementation is written in a dialect called Cython, which compiles to C-Code while maintaining interoperability with the Python interpreter. You don’t need to be an expert in Decision Trees to understand this article, but a basic level of understanding should be sufficient to follow up.
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Written by
@mereep
Just a random Nerd, interested in almost anything tech. Writing my PhD about glass box modelling.
Topics and
tags
tags
decision-tree|machine-learning|python|explainable-ai|programming|data-science|data-visualization|hackernoon-top-story
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