Pinned Repositories
analysis-geospatial-data
This project aims to conduct an analysis of geospatial data from Toronto, Canada.
computer-vision-caltech101
Multilabel classification using convolutional networks. This project uses the dataset Caltech 101, a famous database for computer vision applications.
datascience-quick-start
Quick start for data science projects
diagnosis-disease-based-symptoms
Simple program that demonstrates how it is possible based on symptoms, define which disease. The goal is to show how to get a simple diagnosis, integrating Python with Prolog to create a mini expert system with Symbolic Artificial Intelligence concept.
gan-network-experiment
Gan Network Experiments
image-classifier-rock-paper-scissors
Image Classifier Rock, Paper e Scissors dataset
neural-networks-deep-learning
deeplearning.ai specialization with Andrew Ng
self-organized-maps-som
Implementation of a neural network SOM
startsh-docker-toolbox
Modification in the sh script that the docker toolbox performs at its startup. Added commands that detect toolbox VM errors at runtime and apply patches.
time-series-ipca
This project aims to analyze and predict the IPCA historical series.
macio-matheus's Repositories
macio-matheus/analysis-geospatial-data
This project aims to conduct an analysis of geospatial data from Toronto, Canada.
macio-matheus/diagnosis-disease-based-symptoms
Simple program that demonstrates how it is possible based on symptoms, define which disease. The goal is to show how to get a simple diagnosis, integrating Python with Prolog to create a mini expert system with Symbolic Artificial Intelligence concept.
macio-matheus/time-series-ipca
This project aims to analyze and predict the IPCA historical series.
macio-matheus/neural-networks-deep-learning
deeplearning.ai specialization with Andrew Ng
macio-matheus/self-organized-maps-som
Implementation of a neural network SOM
macio-matheus/computer-vision-caltech101
Multilabel classification using convolutional networks. This project uses the dataset Caltech 101, a famous database for computer vision applications.
macio-matheus/datascience-quick-start
Quick start for data science projects
macio-matheus/gan-network-experiment
Gan Network Experiments
macio-matheus/jupyter_notebook_data_science
Quick start of a development environment for data science
macio-matheus/kafka-application-cdc
macio-matheus/synthetic-data-generator
macio-matheus/tensorflow-specialization
Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications.
macio-matheus/image-classifier-rock-paper-scissors
Image Classifier Rock, Paper e Scissors dataset
macio-matheus/spark-ml-project
The main objective was to apply machine learning on a bigdata infrastructure.
macio-matheus/algorithms-and-data-structure-practices
macio-matheus/analyze-data-arxiv
arxiv
macio-matheus/cross-site-scripting-engine-detector
Cross-site scripting in web sites vulnerability detection engine
macio-matheus/cucumber-with-compose
This project provides an environment configured with the Cucumber framework.
macio-matheus/data-extractor
Script to extract structured data in spreadsheets from PowerCenter exported .xmls (converted to .jsons) files.
macio-matheus/datascience-with-python
This project is the final activity of one of the certification courses: IBM Data Science Professional Certificate The activity consists of applying the knowledge acquired during the course "Data Science with Python", which makes up the grade of certification courses.
macio-matheus/eight-queens-puzzle
Challenge of the eight queens solved with local search algorithms and a genetic algorithm
macio-matheus/game-of-thrones-challenge
macio-matheus/iot-webservice
WebService for interaction with a NodeMCU device
macio-matheus/machine-learning-edx-course
This repository contains the weekly projects of the ColumbiaX University Machine Learning Certification Program - CSMM.102x offered by edx.org.
macio-matheus/macio-matheus
macio-matheus/nlp-hate-identify
The objective is to show a model built with machine learning techniques such as natural language processing and neural networks, which is able to identify hate comments in multiple languages.
macio-matheus/python-stubs
A simple way to create class Stubs in Python
macio-matheus/r-language-basic-experiments
macio-matheus/rabbitmq-with-python-and-docker
macio-matheus/robocop-robocode