Data Incognita

Out of number, meaning.

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Tag: principal component analysis

November 27, 2017May 13, 2018 amarouchos

DS Fundamentals: Principal Component Analysis

Tags

bagging bayes classifier behavioural data classification concept analysis data mining decision trees deep learning feature extraction fMRI gensem information theory linear models matlab mixed models multidimensional scaling neuroscience nltk non-negative matrix factorisation 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 web scraping

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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