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analise_sentimento_twitter_port

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

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

cefsharp

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

curso_django

Repositório criado para acompanhar o curso de Django

curso_django2

esp32_ml

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

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.

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

kmodes

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

made-with-ml

Learn how to responsibly deliver value with ML.

mnist-scikitlearn

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

neural-networks-and-deep-learning

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

people-counting-in-real-time

People Counting in Real-Time with an IP camera.

plain_tensorflow_nn_on_mnist

>98% on MNIST dataset using Tensorflow

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 ;)

pydata-book

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

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

scikit_tensorflow

Avaliação do desempenho usando MNIST

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

support-vector-machine

Implementation of Support Vector Machine using Stochastic Gradient Descent

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

usandoflask

Utilização do Flask para inferências em modelos de machine learning