Gustavo De Mari Pereira (gustavodemari)

gustavodemari

Geek Repo

Location:São Paulo, Brazil

Home Page:http://www.gustavodemari.com.br

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Gustavo De Mari Pereira's repositories

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superset-on-heroku

One-button Heroku deploy for the Caravel data exploration platform.

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uci

Applied Machine Learning using UCI Datasets and Python

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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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express-rest-api

An example of Express framework to design a REST API

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FrameworkBenchmarks

Source code for the framework benchmarking project

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scikit-learn

scikit-learn: machine learning in Python

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deep_learning

Deep Learning Resources and Tutorials using Keras and Lasagne

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High-Frequency-Trading-Model-with-IB

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

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HTML5_Genetic_Cars

A genetic algorithm car evolver in HTML5 canvas.

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kaggle-ncaa-prediction

A repo containing code used to make march madness predictions for the kaggle competition

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kaggle-Rain

Winning solution to the Kaggle competition - How Much Did It Rain? II

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Kaggle_CrowdFlower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

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kaggle_ndsb2017

Kaggle datascience bowl 2017

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mean

MEAN.JS - Full-Stack JavaScript Using MongoDB, Express, AngularJS, and Node.js -

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minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

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python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

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rabbitmq-website

Source files for www.rabbitmq.com

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recommendationRaccoon

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.

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tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

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tessel-nfl

A script for the tessel that uses the NFL's ScoreScript JSON feed to check the scores for a specific game, and trigger an attached relay on a score.

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ud120-projects

Starter project code for students taking Udacity ud421

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