Data Science

wiki4HE Exploration, Machine Learning and Storytelling

Wiki4HE is a database containing a questionnaire that was applied to teachers with topics regarding their perception of Wikipedia as a tool for other collaborators and students.

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Exploration of Brazilian federal travel data

This work is an exploration of travel data of federal people from Brazil in 2019

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Pokeanalysis and Predicting Legendaries

This work use 721 pokemons to analyse their attributes and create a machine learning model to predict if the pokemon is legendary.

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Reinforcement Learning

Some tests with reinforcement learning algorithms, including qlearn, sarsa, lambda sarsa, deep q learning

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Adaboost with numpy

Adaboost for categorical data implemented with numpy only.

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Keras + MNIST

A simple test with Keras and MNIST to assess impact by varying hyperparans.

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Survey: Open-set Classification

A little survey about open-set problem

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Technical Report: Exploiting Deep-Features Diversity in Food-11 Classification

In this report, we evaluate how useful deep-features are for traditional machine learning models in food image domain

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