ericlrf

rul

remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM

Anomaly-Detection

Articles

References to the Medium articles

awesome-h2o

A curated list of research, applications and projects built using the H2O Machine Learning platform

BancoBitcoin

Solução bancária usando MyNodeBTC Premium com Bitcoin Core, Lightning, Electrum e LnBits

birt-gd

BIRTSGD is an implementation of Beta3-irt using gradient descent.

Custom_Transcoder-facebook

An code/programming language translator using AI tech from facebook

facebook-transcoder-demo

A small walkthrough of Facebook's TransCoder Pretrained model for Code Conversion

CodeConverter-Transcoder-Facebook-based-AI

cutomer-segmentation

use case of K-prototypes to do a cutomer segmentation

desafio-cientista-de-dados

desafiogrupowl

APLICAÇÃO BACK-END (API REST):

eXirt-XAI-Benchmark

This is a repository for reproducibility purposes. In this research, a large number of datasets were used to create different ML models, which were then explained by XAI measures. Proposing a new measure of XAI called eXirt.

fbprophet

Experiments with fbprophet python tool

java-treino-programacao

prova pratica

live-de-python

Repositório das lives semanais

machineLearning

A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube

ML-Code

ipynb notebooks for NumPy, Pandas, Pyplot

mnist-data

mt

04_Gensim_W2V_Embeddings

PracticalMachineLearning

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

project-codenet-notebooks

pyspark-hive-example

python.ds

Compartilhamento de estudos e ideias para aplicação prática de Python em diversas áreas (data science, web scraping, microcontroladores, etc.)

Series-Temporais

Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

ufpethesis

vc

U.C. Visao Computacional

vis

U.C. Visualização de Dados

Votacao2oTurno

pyspark on colab