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Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervise…

clustering sklearn feature-selection pca ica visualizing-data

Updated Feb 1, 2018
HTML

sanjeevai / customer_segments

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Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.

sklearn prediction feature-selection data-visualisation pca unsupervised-learning cluster-data ica customer-segments natural-categories

Updated Feb 12, 2018
HTML

AlexisDrch / clustering-reduction

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Kmeans, EM and Neural Networks applied on reduced dataset using different dimensionality reduction algorithms.

clustering neural-networks pca jupyter-notebooks unsupervised-learning factor-analysis ica gaussianrandomprojection

Updated Mar 22, 2018
Jupyter Notebook

Vasu7052 / Blind-Source-Seperation

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A python based Machine Learning project that separates two sounds intermixed.

audio python machine-learning deep-learning machine-learning-algorithms pca unsupervised-learning blind-source-separation ica

Updated Apr 20, 2018
Python

cschen1205 / cs-ica

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Independent Component Analysis algorithm for solving linear noise less "cocktail party problem"

feature-engineering ica independent-component-analysis

Updated Apr 28, 2018
C#

DandaPanda / refsig

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Package for obtaining the referential signal from a set of unipolar iEEG data

reference signal-processing eeg noise electroencephalography biomedical noise-reduction biomedical-engineering ica biomedical-data-science intracranial ieeg referential-signal seeg virtual-reference intracranial-eeg brain-recordings

Updated May 21, 2018
Python

guillearch / openprodoc-isad

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ISAD (G) template for OpenProdoc

xml dms ica openprodoc isad-g

Updated May 26, 2018

gouravaich / independent-component-analysis

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Use Independent Component Analysis to retrieve original signals from three observations each of which contains a different mix of the original signals.

machine-learning udacity machine-learning-algorithms nanodegree ica independent-component-analysis retrieve-original-signals

Updated Jul 21, 2018
Jupyter Notebook

RicardoDominguez / EEG-analysis

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Process and analyse EEG brain signals using EEGlab

matlab eeg eeglab ica

Updated Oct 20, 2018
MATLAB

Ohara124c41 / MLND-Customer_Segments

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Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervise…

sklearn feature-selection pca feature-engineering model-complexity ica learning-curves