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algorithms-and-data-structure-practices

analysis-geospatial-data

This project aims to conduct an analysis of geospatial data from Toronto, Canada.

analyze-data-arxiv

arxiv

computer-vision-caltech101

Multilabel classification using convolutional networks. This project uses the dataset Caltech 101, a famous database for computer vision applications.

cross-site-scripting-engine-detector

Cross-site scripting in web sites vulnerability detection engine

cucumber-with-compose

This project provides an environment configured with the Cucumber framework.

data-extractor

Script to extract structured data in spreadsheets from PowerCenter exported .xmls (converted to .jsons) files.

datascience-quick-start

Quick start for data science projects

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.

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.

eight-queens-puzzle

Challenge of the eight queens solved with local search algorithms and a genetic algorithm

game-of-thrones-challenge

gan-network-experiment

Gan Network Experiments

image-classifier-rock-paper-scissors

Image Classifier Rock, Paper e Scissors dataset

iot-webservice

WebService for interaction with a NodeMCU device

jupyter_notebook_data_science

Quick start of a development environment for data science

kafka-application-cdc

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

neural-networks-deep-learning

deeplearning.ai specialization with Andrew Ng

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.

python-stubs

A simple way to create class Stubs in Python

r-language-basic-experiments

rabbitmq-with-python-and-docker

robocop-robocode

self-organized-maps-som

Implementation of a neural network SOM

spark-ml-project

The main objective was to apply machine learning on a bigdata infrastructure.

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.

synthetic-data-generator

tensorflow-specialization

Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications.