ANTONIO CARLOS GOMEZ GUTIERREZ (antoniocgg)

antoniocgg

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Company:Mainatec

Location:Brazil

Home Page:www.linkedin.com/in/antonio-gutierrez-5a280910

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ANTONIO CARLOS GOMEZ GUTIERREZ's repositories

Made-With-ML

Learn how to responsibly deliver value with ML.

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curso_django

Repositório criado para acompanhar o curso de Django

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breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

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People-Counting-in-Real-Time

People Counting in Real-Time with an IP camera.

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in-quiz-questions

Skill Linkedin quiz (Assessment) answers and questions (aws-lambda, rest-api, javascript, react, git, html, jquery, maven, mongodb, xml, java, css, python ...) ответы на квиз

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scikit_tensorflow

Avaliação do desempenho usando MNIST

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usandoFlask

Utilização do Flask para inferências em modelos de machine learning

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ESP32_ML

Implementando modelos de Machine Learning no ESP32, usando a IDE do Arduino (Regressão Logística, SVM e Redes Neurais)

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

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analise_sentimento_twitter_port

Análise de sentimentos NLP completa, com extração de mensagens do twitter, em português

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plain_tensorflow_nn_on_mnist

>98% on MNIST dataset using Tensorflow

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pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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mnist-scikitlearn

A beginners guide to understand machine learning models using scikit-learn

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Support-Vector-Machine

Implementation of Support Vector Machine using Stochastic Gradient Descent

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CefSharp

.NET (WPF and Windows Forms) bindings for the Chromium Embedded Framework

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