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ab_testing_function

Extract the code from DataCamp course, some handy functions for A/B testing statistics are shown here

adam-geitgey-building-deep-learning-keras

adamgeitgey-tensorflow-course

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aipnd

Code and associated files for the AI Programming with Python Nanodegree Program

anomaly-detection-using-autoencoders

This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders

avellaneda-stoikov

Avellaneda-Stoikov HFT market making algorithm implementation

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

beecolpy

Artificial Bee Colony algorithm for Python

black-friday-eda

O objetivo é extrair algumas informações quantitativas que nos ajudem a compreender a natureza dos dados à disposição e ganhar alguns insights sobre o data set.

boston-housing

In this project, Basic Machine Learning concepts were built on data and house prices in Boston, Massachusetts to predict the selling price of a new home.

brasnam-experiments

Repository containing all source code used in experiments for my paper in BraSNAM 2021: "Quão efetivas são Redes Neurais baseadas em Grafos na Detecção de Fraude para Dados em Rede?"

busca-incompreensivel

capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

chest-x-ray-pneumonia-inference

Inference in Pneumonia Detection from Chest X-Ray Images

clrs

:notebook:Solutions to Introduction to Algorithms

cnn-bayesian-optimization

Implemementação de uma otimização bayesiana aplicada a uma rede neural convolucional.

cnn-sentinel

Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

codenation-challenges

compactcnn

PyTorch and Keras implementation of CompactCNN for Anomaly Detection in textured surfaces.

course-v3

The 3rd edition of course.fast.ai

covid19-chest-x-ray-detection

Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.

cra-predictive-model

Análise do conjunto de dados e criação de um modelo de regressão para a previsão de CRA usando notas de disciplinas do primeiro período do curso de computação da UFCG. Além disso utilizamos algumas técnicas para enriquecer a análise dos dados como Holdout, Cross Validation e a comparação de modelos nos dados de teste e treino.

cracking-the-coding-interview-solutions

My Solutions to the book - Cracking the Coding Interview by Gayle Laakmann McDowell (6th Edition)

curso-django-projeto1

customer-segmentation

Using unsupervised learning methods to help business better understand customers

customer-segmentation-on-home-loans

An analysis on a home loan customer base to identify groups leading to good and bad rates. Language: Python

data-science-0

Codenation program part 2

data-science-introducao-a-testes-estatisticos-com-python

data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.