principal-component-analysis

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

UpdatedMay 15, 2017
MATLAB

erdogant /pca

Sponsor

Star310

pca: A Python Package for Principal Component Analysis.

pca outliers principal-component-analysis biplot 3d-plot explained-variance hotelling-t2

UpdatedApr 24, 2025
Jupyter Notebook

Albertsr /Anomaly-Detection

Star297

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

data-mining pca-analysis pca semi-supervised-learning principal-component-analysis intrusion-detection-system lof anomaly-detection isolation-forest mahalanobis-distance kernel-pca pulearning

UpdatedFeb 18, 2021
Python

gionanide /Speech_Signal_Processing_and_Classification

Star247

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can…

nlp classifier natural-language-processing feature-extraction nltk gaussian-mixture-models support-vector-machines mfcc principal-component-analysis speech-processing linear-discriminant-analysis isomap spectral-clustering long-short-term-memory kernel-pca spectral-embedding locally-linear-embedding linear-prediction-coefficients speech-utterance

UpdatedMar 3, 2023
Python

zavtech /morpheus-core

Star243

The foundational library of the Morpheus data science framework

finance statistics regression datascience statistical-analysis data-analytics data-analysis quantitative-finance dataframe regression-models principal-component-analysis dataframe-library

UpdatedDec 6, 2023
Java

arnaldog12 /Machine_Learning

Star223

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression

UpdatedApr 27, 2022
Jupyter Notebook

dlaptev /RobustPCA

Star203

Robust PCA implementation and examples (Matlab)

computer-vision matlab matrix-factorization admm principal-component-analysis robust-pca video-decomposition

UpdatedFeb 21, 2018
MATLAB

faridcher /ml-course

Star174

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

machine-learning neural-network clustering svm linear-regression pca classification recommender-system regularization gradient-descent k-means anomalydetection principal-component-analysis learning-curve

UpdatedJun 1, 2024
R

bwlewis /irlba

Star129

Fast truncated singular value decompositions

pca svd principal-component-analysis singular-value-decomposition sparse-principal-components

UpdatedFeb 22, 2024
R

lestercardoz11 /fault-detection-for-predictive-maintenance-in-industry-4.0

Star127

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

python machine-learning random-forest svm jupyter-notebook autoencoder artificial-neural-networks kmeans principal-component-analysis gaussian-distribution isolation-forest ball-bearing predictive-maintenance lstm-autoencoder

UpdatedJul 11, 2021
Jupyter Notebook

erichson /ristretto

Star115

Randomized Dimension Reduction Library

python pca svd principal-component-analysis dimension-reduction lu-decomposition singular-value-decomposition randomized-algorithm nonnegative-matrix-factorization matrix-approximation dynamic-mode-decomposition

UpdatedApr 17, 2021
Jupyter Notebook

Hassaan-Elahi /Writing-Styles-Classification-Using-Stylometric-Analysis

Star104

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

natural-language-processing artificial-intelligence principal-component-analysis authorship-attribution nlp-machine-learning clustering-algorithm plagiarism-detection unsupervised-machine-learning k-means-clustering lexical-features readability-scores vocabulary-richness writing-styles-detection intrinsic-plagiarism-detection stylometric-features writing-styles-extraction clustered-chunks-of-text authorship-analysis self-archive-research stylometric-techniques

UpdatedAug 6, 2024
Python

tiskw /random-fourier-features

Star101

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

python machine-learning pytorch support-vector-machines gaussian-processes principal-component-analysis

UpdatedOct 29, 2024
Python

erichson /rSVD

Star99

Randomized Matrix Decompositions using R

cran pca svd principal-component-analysis dimension-reduction singular-value-decomposition randomized-algorithm matrix-approximation probabilistic-algorithms

UpdatedApr 13, 2021
R

MaksimEkin /COVID19-Literature-Clustering

Star93

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

machine-learning random-forest clustering sklearn kaggle pca classification dimensionality-reduction bokeh kmeans tsne principal-component-analysis kmeans-clustering sgd-classifier coronavirus covid-19