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ckmoraiz/README.md

Engenharia Mecatrônica no triângulo mineiro!

🧬 Machine Leraning projects:

🚲 Ridge Regression to predict the power of a motorcycle, given engine specs:
https://github.com/chydrue/motorcycle_specs_RidgeRegression

🙊 NLP basic implementation with Simpsons Dataset. (Internship test)
https://github.com/chydrue/NLP_simpsons

🛡️ Notebooks from IBM course of Exploratory Data Analysis. (Cool for reference)
https://github.com/chydrue/machinelearning_IBM

💧 MLOps DataTalks Zoomcamp (MLflow with Prefect):
https://github.com/chydrue/MLOps_Zoomcamp-DataTalks-

🐍 Python projects:

💻 Basic API with Django:
https://github.com/chydrue/Frexco_API

📖 Exercises from the book Python Crash Course - Eric Mathers
https://github.com/chydrue/curso_intensivo_python

💊 Random cool stuff from the Embbed Systems class:
https://github.com/chydrue/SEII

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    Implementation of Naive Bayes methods for classification in a motorcycle specs database.

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    Exercícios resolvidos do livro Curso Intensivo de Python - Eric Matthes - 3ª ed.

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    Atividades da Disciplina Sistemas Embarcados II

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    A toolkit for developing and comparing reinforcement learning algorithms.

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    I'm now a HEX, this is my first repository as a full-stack engineer

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