Data Incognita

Out of number, meaning.

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Tag: classification

April 23, 2018May 16, 2018 amarouchos

Needles in a haystack: finding pulsars in cosmological data

December 6, 2017April 4, 2018 amarouchos

DS Fundamentals: Support Vector Machines

November 3, 2017December 6, 2017 amarouchos

Detecting deceptive hotel reviews using topic models

Posts

  • fundamentals
  • projects

Tags

bagging bayes classifier behavioural data classification concept analysis decision trees deep learning feature extraction fMRI gensem information theory linear models matlab mixed models multidimensional scaling neuroscience nltk non-parametric analysis octave principal component analysis python R random forests regression restricted boltzmann machine scikit-learn semantic representations statistical parametric mapping supervised learning support vector machines text analysis topic model unsupervised learning

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There are two broad categories where posts fall into.

Fundamentals basically contains a written record of me fooling around with different techniques that are found everywhere in data science. This is more of an exercise for me to learn these techniques better and work on my communication skills as well.

Projects is me having fun with different types of data. Again nothing too major, mostly small to medium sized datasets for the main purpose of learning.

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