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docs: acknowledgement Raschka Python Machine Learning
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README.md

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[![CI](https://github.com/grthomson/perceptron-playground/actions/workflows/ci.yml/badge.svg)](https://github.com/grthomson/perceptron-playground/actions/workflows/ci.yml)
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Experiments with perceptrons — starting with a simple single-layer model on the Iris dataset, and later extending to multilayer versions. Includes plotting, comparison, and research playground.
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Experiments with perceptrons with a view to entity resolution as binary classification. Currently running a simple single-layer model on the Iris dataset, to be extended to multilayer versions. Includes plotting, comparison, and research playground. Based on
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## Getting started
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pip install -e ".[dev]"
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pre-commit install
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```
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## Acknowledgements
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This project is heavily based on examples in
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[**Python Machine Learning, 3rd Edition** by Sebastian Raschka](https://github.com/rasbt/python-machine-learning-book-3rd-edition).

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