fernandofavoretti Goto Github PK
Name: Fernando Favoretti
Type: User
Company: XP Investimentos
Bio: Data Scientist, lover of Tech World and have Reptilian Martial Arts skills
Location: São Paulo - Brazil
Name: Fernando Favoretti
Type: User
Company: XP Investimentos
Bio: Data Scientist, lover of Tech World and have Reptilian Martial Arts skills
Location: São Paulo - Brazil
Application of apriori rule algorithm
aWhere API python wrapper
OMNICROP uses a database composed of labeled data such as light quality and quantity, general climate characteristics and soil quality from successful farming sites. This data is then used to sort and select the most successful crops for a particular set of circumstances. This process can provide either earthbound farmers or off-world colonists with the a-priori information needed to start successful, productive food production while preventing costly and time-consuming mistakes that derive from on-site experimentation or be directly linked to self-managing cultivation chambers. This project is an open source model where any user can input data and obtain results. Frequent reuse will assist the models to “learn” and continually re-calibrate itself providing increasingly accurate results over time. If selected, the candidate will assist with organizing the labeled data and on programming the model as well as be given full liberty to come up with new ideas on how to integrate the model’s premise on building cheap self-managing cultivation chambers using IoT.
closeness centrality
SF Brigade's Data Science Working Group.
Curso de especialização em ciencia de dados Coursera
The Leek group guide to data sharing
Resolutions for the DataStax Data Modeling Exercises
Udacity Deep Learning Foundations Nanodegree
Examples using multiprocessing with cassandra-driver
Elastic Search with d3 Js
fklearn: Functional Machine Learning
A collection of useful .gitignore templates
Apache Airflow (Incubating)
Dark theme for Jupyter Notebook (iPython 4) UI
A clojure implementation of Kaggle.com's titanic project
full project - crawler, python api, front
cloned from github.com/FlorianMuellerklein/Machine-Learning
Formatted datasets for Machine Learning With R by Brett Lantz
Uma solução automática de engenharia de características para algoritmos de aprendizado baseados em árvores.
#Udacity nanodegree Deep Learning
Machine Learning for SETI
Backprop algorithm to solve XOR problem. A perfect place to start if you are new to Neural Networks.
Um leitor simples de RSS com possibilidade de curtir e compartilhar matérias que são expostas como RSS.
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.