viniciusrpb/cic0193_machine_learning

Notebooks Python da parte prática da disciplina "CIC0193 - Fundamentos de Sistemas Inteligentes" do Departamento de Ciência da Computação da Universidade de Brasília.

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This collection of Python notebooks provides practical demonstrations and guided examples for fundamental machine learning tasks. It takes various forms of data, such as images, text, and tabular datasets, and processes them through different algorithms to produce predictive models or data groupings. This material is primarily designed for university students learning about artificial intelligence and machine learning concepts.

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Use this if you are a student or educator looking for structured, hands-on examples to understand core machine learning algorithms and data processing techniques.

Not ideal if you need a production-ready library or a high-level API to quickly integrate machine learning into an existing application.

machine-learning-education data-preprocessing image-feature-extraction text-processing supervised-learning
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Jupyter Notebook

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GPL-3.0

Last pushed

May 28, 2024

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