marianefurtado Goto Github PK
Type: User
Company: @labdaps University of Sao Paulo
Bio: Ph.D. in Epidemiology at the São Paulo School of Public Health; M.A. and B.A. in Economics at the Federal University of Pelotas
Location: Brazil
Type: User
Company: @labdaps University of Sao Paulo
Bio: Ph.D. in Epidemiology at the São Paulo School of Public Health; M.A. and B.A. in Economics at the Federal University of Pelotas
Location: Brazil
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
💿 Free software that works great, and also happens to be open-source Python.
Training resources around Azure Machine Learning
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
This repository hosts the code behind the online book, Coding for Economists.
One of the ancestors of River
Curso Introdutório de Análise de Dados Públicos
My notes pertaining to python programming, data analysis and visualization
Machine learning datasets used in tutorials on MachineLearningMastery.com
An introduction to data science in Python, for people with no programming experience.
Python tools for epidemiology
A suite of tools for epidemiology in Python.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
A quick introduction to version control with Git and GitHub
A collection of IPython notebooks covering various topics.
Tutorials on how to use pandas effectively to do data analysis
Notebooks for https://python-programming.quantecon.org
Lecture notes for EC 607
Lecture Notes (Spring 2021)
Survival analysis in Python
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.