Ricardo Ferreras's repositories
FootballData
FootballData
Alzheimers-Prediction
An attempt to diagnose Alzheimer's disease earlier
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-public-datasets
A topic-centric list of HQ open datasets.
data_science_material
Original Data Science Material in Portuguese/English.
datascience-pizza
🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
emoji-cheat-sheet
A markdown version emoji cheat sheet
football_analytics
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
ftp-action
FTP action to CI/CD
greport
R greport package: Graphical reporting of clinical trials
ionic-agora-video-call
This is a sample app for agora SDK implementation with Ionic
LIVROS-FERNANDO-FELTRIN
Códigos dos exemplos utilizados nos livros de Fernando Feltrin
ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
padroes-de-commits
Padrões de commits
penaltyblog
Library from http://pena.lt/y/blog for modelling and working with football (soccer) data
pyxelate
Python class that generates pixel art from images
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
scikit-learn
scikit-learn: machine learning in Python
siggraph2016_colorization
Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.
spark-playground
Data analysis using apache spark
spark-standalone-cluster-on-docker
Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. :zap:
storytelling-with-data
Plots from the book "Storytelling with data" implementation using Python and matplotlib