awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-jupyterlab

A curated list of awesome JupyterLab extensions and resources

awesome-web-scraping

List of libraries, tools and APIs for web scraping and data processing.

build-your-own-x

🤓 Build your own (insert technology here)

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

dashboardom

Portfolio of Dash Interactive Dashboards / Mini Apps

data-engineering-track-with-python

All Data Engineering notebooks from Datacamp course

data-science-template

Template for a data science project

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

datascienceonblockchainwithr-parti

ds-experiments

Archive of data science, analysis, machine learning, and system-building efforts I've undertaken outside of work... Work I've done for school, personal development, and fun.

dylanroy

estudo

Alguns livros e notebooks de estudo

fclesio

genderclass

GenderClass é um app de classificação de gênero com base no nome

getnet-hackathon

Repositório do hackathon da Getnet

health-track-landing-page-v0

hover-paywalls-browser-extension

Hover is an open-sourced browser extension that bypasses paywalls and blocks ads.

joseestevan

GitHub Profile

ml

Machine Learning

notebooks

ov_azul

ov_b2w

ov_itausa

overview

public-apis

A collective list of free APIs for use in software and web development.

py-resume

Useful scripts to create a resume with Python

recommendations_with_ibm

Project No.3 in the Udacity Data Scientist Nanodegree Program. Will build a recommendation engine, based on user behavior and social network in IBM Watson Studio’s data platform, to surface content most likely to be relevant to a user.

site

udacity-disaster-response-pipeline

This project is part of Udacity Data Scientist Nanodegree Program in collaboration with Figure Eight. The project builds a ML pipeline to categorize emergency messages based on the needs communicated by sender.