Joelson Antônio dos Santos's repositories
Data-Science
BUILDING: This repository provides some classics machine learning tools in four fields: data preprocessing, unsupervised, semi-supervised and supervised techniques. In addition, the three fields have two types of techniques: clustering/classification and outliers detection. All algorithms are implemented in different programming languages: python, C, R, Scala and Java.
banco_de_dados-aula7
Scripts para aula de BD - Ada
airflow-tutorial
Apache Airflow tutorial
AMLSamples
Repo hosting examples using Azure Machine learning SDK
aula2-git
Aula sobre conceitos de git
business-rules
Python DSL for setting up business intelligence rules that can be configured without code
cython
Primeiros passos na linguagem Cython
django-ex
Django Example
Docker-Flask-uWSGI
Docker container with uWSGI for Flask apps in Python 3
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
hdbscan
A high performance implementation of HDBSCAN clustering.
json-rule-editor
Json rule editor
llvm_tests
llvm-tests
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
minicurso-hadoop
alguns códigos do minicurso de hadoop ministrado no ICMC-USP.
mlflow
Open source platform for the machine learning lifecycle
projeto-db-ufscar
projeto-db-ufscar
repo-demo
aula git - teste
SageMaker-Load-Testing
SageMaker Load Testing using Locust
spark_kafka_tests
This repository will be used for store some code tests.
test_aula
aula test git
Vue.js
Udemy course - Vue.js (In process)