Name: Gustavo De Mari Pereira
Type: User
Bio: machine learning, data science, software engineering
Location: São Paulo, Brazil
Blog: http://www.gustavodemari.com.br
Gustavo De Mari Pereira's Projects
jQuery Mobile Flat UI Theme
Kaggle Blue Book for Bulldozers Competition
A repo containing code used to make march madness predictions for the kaggle competition
Winning solution to the Kaggle competition - How Much Did It Rain? II
This is the 1st place solution of a kaggle machine contest: Tradeshift Text Classification. http://www.kaggle.com/c/tradeshift-text-classification
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
Kaggle datascience bowl 2017
An express-based Node.js web application bootstrapping module.
Cordova MapKit plugin
MEAN.JS - Full-Stack JavaScript Using MongoDB, Express, AngularJS, and Node.js -
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Repositórios para legendas em português-BR do curso Node.js - Jumpstart for Devs - NewCircle Training
Soluções de exercícios do http://nodeschool.io/
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A starting-point for PhoneGap apps
Allow easily streaming from torrents, without any particular knowledge.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python client for the Echo Nest API
The "Python Machine Learning" book code repository and info resource
Source files for www.rabbitmq.com
A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity between users and k-nearest-neighbors to create recommendations. This module is useful for anyone with a database of users, a database of products/movies/items and the desire to give their users the ability to like/dislike and receive recommendations.
scikit-learn: machine learning in Python
Just a simple CRUD with express 4.x