Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: principal-component-analysis

Mc-123-DS/Wine-data-analysis

Unsupervised learning! Using Principal component analysis for dimension reduction and Clustering analysis.

Language: R - Size: 64.5 KB - Last synced: about 12 hours ago - Pushed: about 14 hours ago - Stars: 0 - Forks: 0

ashita03/H1BVisa2014_Analysis

Explore the H1B Visa data from 2014 through a comprehensive multivariate analysis.

Language: HTML - Size: 9.89 MB - Last synced: about 15 hours ago - Pushed: about 16 hours ago - Stars: 0 - Forks: 0

shimo-lab/Universal-Geometry-with-ICA

Discovering Universal Geometry in Embeddings with ICA

Language: Python - Size: 10.8 MB - Last synced: about 19 hours ago - Pushed: about 20 hours ago - Stars: 15 - Forks: 0

392781/Country-Clustering-Analysis

Cluster analysis practice done on a dataset of 167 countries

Language: Jupyter Notebook - Size: 1.49 MB - Last synced: 1 day ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

krawczyk22/Facial-attendance-system

Facial recognition system using the fusion of the PCA and LDA algorithms to verify students' attendance in real-time.

Language: Python - Size: 540 KB - Last synced: 1 day ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

RezaSaadatyar/Machine-Learning-in-Python

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

Language: Jupyter Notebook - Size: 6.37 MB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 2 - Forks: 0

btmartin721/SNPio

API to read, write, and filter DNA sequence alignment files

Language: Python - Size: 108 MB - Last synced: 2 days ago - Pushed: 6 days ago - Stars: 2 - Forks: 1

erdogant/pca

pca: A Python Package for Principal Component Analysis.

Language: Jupyter Notebook - Size: 18.9 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 270 - Forks: 40

HasibAlMuzdadid/Hyperspectral-Image-Classification

Comparative analysis of different feature extraction techniques for hyperspectral image classification.

Language: Jupyter Notebook - Size: 40.5 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 14 - Forks: 0

MaxHalford/prince

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

Language: Python - Size: 8.12 MB - Last synced: 3 days ago - Pushed: about 1 month ago - Stars: 1,199 - Forks: 177

bwlewis/irlba

Fast truncated singular value decompositions

Language: R - Size: 2.63 MB - Last synced: 1 day ago - Pushed: 3 months ago - Stars: 124 - Forks: 17

Sand-jrd/GreeDS

GreeDS algorithm from Pairet etal 2020. Re-implemented to be independent from MAYONNAISE

Language: Python - Size: 66.4 KB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0

BrianMburu/Market_Segmentation

Notebook to Perform Market Segmentation using K-means clustering, PCA, and Auto-encoders.

Language: Jupyter Notebook - Size: 45.1 MB - Last synced: 6 days ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

scholi/pySPM

Python library to handle Scanning Probe Microscopy Images. Can read nanoscan .xml data, Bruker AFM images, Nanonis SXM files as well as iontof images(ITA, ITM and ITS).

Language: Python - Size: 81 MB - Last synced: 7 days ago - Pushed: 12 days ago - Stars: 57 - Forks: 33

AmishaSomaiya/Machine-Learning

Machine Learning Code Implementations in Python

Language: Python - Size: 36.9 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 4 - Forks: 0

sebastianalamina/ML_2023-2

Trabajos presentados como parte del curso de Reconocimiento de Patrones y Aprendizaje Automatizado, impartido por el profesor Sergio Hernández López durante el semestre 2023-2 en la Facultad de Ciencias, UNAM.

Language: Jupyter Notebook - Size: 12.2 MB - Last synced: 13 days ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

olivertomic/hoggorm

Explorative multivariate statistics in Python

Language: Python - Size: 3.95 MB - Last synced: 5 days ago - Pushed: over 2 years ago - Stars: 79 - Forks: 26

abess-team/abess

Fast Best-Subset Selection Library

Language: C++ - Size: 208 MB - Last synced: 15 days ago - Pushed: 16 days ago - Stars: 427 - Forks: 41

fchen365/epca

Exploratory Principal Component Analysis

Language: R - Size: 703 KB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 11 - Forks: 2

ChristianGoueguel/HotellingEllipse

The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's x-y coordinates, semi-minor, and semi-major axes lengths.

Language: R - Size: 66.8 MB - Last synced: 16 days ago - Pushed: 17 days ago - Stars: 6 - Forks: 0

OlivierGarciaDev/fanalysis

Python module for Factorial Analysis : Simple and Multiple Correspondence Analysis, Principal Components Analysis

Language: Python - Size: 2.18 MB - Last synced: 18 days ago - Pushed: almost 6 years ago - Stars: 23 - Forks: 22

juandapradam12/PCA-Applied-To-Silicon-Wafer-Thickness-Analysis

Application of the statistical method principal component analysis for studying the thickness of a Silicon wafer.

Language: Python - Size: 47.9 KB - Last synced: 18 days ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

Awrsha/Machine-Learning-and-Deep-Learning

Some of the topics, algorithms and projects in Machine Learning & Deep Learning that I have worked on and become familiar with.

Language: Jupyter Notebook - Size: 23.9 MB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 3 - Forks: 1

YoussefAboelwafa/Face-Recognition

Face Recognition Project using PCA and LDA Algorithms for Dimensionality Reduction

Language: Jupyter Notebook - Size: 25.5 MB - Last synced: 18 days ago - Pushed: 19 days ago - Stars: 0 - Forks: 2

bhattbhavesh91/pca-multicollinearity

A simple example to show how Principal Component Analysis can be used to Address Multicollinearity

Language: Jupyter Notebook - Size: 339 KB - Last synced: 20 days ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 4

windson/PCA-t-SNE

Principal Component Analysis and t-SNE

Language: Jupyter Notebook - Size: 605 KB - Last synced: 20 days ago - Pushed: over 6 years ago - Stars: 1 - Forks: 0

ZenithClown/decompose

Principal Component Analysis (PCA) Algorithm was implemented to determine the Functional Age of the Power Transformer using Return Voltage Measurement (RVM). [submitted]

Language: Python - Size: 617 KB - Last synced: 20 days ago - Pushed: 3 months ago - Stars: 6 - Forks: 0

Praddysingh568/Prediction-of-Student-Alcoholism-and-Academic-Performance

This repository presents a study on predicting student alcoholism and academic performance using machine learning. By analyzing a dataset of student attributes, we develop models to forecast academic outcomes and alcohol usage.

Language: Jupyter Notebook - Size: 2.28 MB - Last synced: 20 days ago - Pushed: 21 days ago - Stars: 1 - Forks: 0

roshan076/PCA

Principal Component Analysis on different dataset.

Language: Jupyter Notebook - Size: 895 KB - Last synced: 20 days ago - Pushed: 21 days ago - Stars: 0 - Forks: 0

ztqsteve/Yelp-Data-Challenge

Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.

Language: Python - Size: 227 KB - Last synced: 21 days ago - Pushed: over 6 years ago - Stars: 3 - Forks: 1

gituser12981u2/Economic-Tensor-PCA-Modeling--ETPCA

Economic analysis tool using tensor PCA modeling to interpolate GNP values, integrating tensor product, PCA, and linear regression for better interpolation.

Language: Python - Size: 28.3 KB - Last synced: 23 days ago - Pushed: 24 days ago - Stars: 0 - Forks: 0

zavtech/morpheus-core

The foundational library of the Morpheus data science framework

Language: Java - Size: 56.1 MB - Last synced: 19 days ago - Pushed: 6 months ago - Stars: 235 - Forks: 22

ronmexico7811/Cancer-Project

Exploring a dataset dealing with tumors from breast cancer

Language: Jupyter Notebook - Size: 707 KB - Last synced: 26 days ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

Amirbehnam1009/Data-Mining-Projects

Language: Jupyter Notebook - Size: 18.8 MB - Last synced: 27 days ago - Pushed: 28 days ago - Stars: 0 - Forks: 0

DCBIA-OrthoLab/ShapeVariationAnalyzer

Shape modeling and classification, extract shape features

Language: Python - Size: 27.5 MB - Last synced: 8 days ago - Pushed: 28 days ago - Stars: 8 - Forks: 22

nicrie/xmca

Maximum Covariance Analysis in Python

Language: Python - Size: 6.89 MB - Last synced: 28 days ago - Pushed: 11 months ago - Stars: 49 - Forks: 15

Quernest/reduction

📘 dimensionality reduction algorithms

Language: TypeScript - Size: 39.1 MB - Last synced: 29 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

catarinapadrela/interval-valued-data-analysis

Interval-Valued Principal Component Analysis and Anomaly Detection

Language: R - Size: 1.97 MB - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 0 - Forks: 0

KentaItakura/blog-post-about-PCA

このページでは、主成分分析について詳しく説明し、MATLABコードによる実装を通した理解の確かめや、Pythonコードによる主成分分析の例を示します。

Language: Jupyter Notebook - Size: 25 MB - Last synced: 30 days ago - Pushed: about 2 years ago - Stars: 7 - Forks: 1

jchen006/shenanigans

Recipe hacking

Language: Python - Size: 44.5 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 4 - Forks: 0

mpolinowski/principle-component-analysis

Improve Data Quality by discarding non-correlating, noisy Dimensions

Language: Jupyter Notebook - Size: 3.5 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

st3v3nmw/shapes-classifier 📦

Shape classification using a "from-scratch" feedforward neural network and dimensionality reduction using principal component analysis.

Language: Python - Size: 6.21 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

douglasrizzo/machine_learning

Machine Learning algorithms in C++

Language: C++ - Size: 5.28 MB - Last synced: about 1 month ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0

pointlander/truther

PCA of the Eigen Vectors of a Graph

Language: Go - Size: 23.4 KB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

Lefteris-Souflas/Modern-Slavery-Analysis

Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.

Language: Jupyter Notebook - Size: 4.08 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

erichson/rSVD

Randomized Matrix Decompositions using R

Language: R - Size: 27.5 MB - Last synced: 11 days ago - Pushed: about 3 years ago - Stars: 96 - Forks: 27

ashita03/Social_Media_Analysis

Social Media Analysis using multivariate analysis in a Rutgers Business School Classroom

Language: HTML - Size: 747 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

sushantnair/Principal_Component_Analysis

An implementation of Principal Component Analysis

Language: Jupyter Notebook - Size: 19.5 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

stefan-matcovici/Special-Chapters-Of-Artificial-Intelligence

Homework for Special Chapters Of Artificial Intelligence course

Language: R - Size: 394 KB - Last synced: about 1 month ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

cschen1205/cs-pca

Principal Component Analysis implemented in C#

Language: C# - Size: 3.23 MB - Last synced: 15 days ago - Pushed: about 6 years ago - Stars: 5 - Forks: 3

AlexanderSouthan/pyDataFitting

Specialized linear, polynomial (including equality constraints on points and slopes), multivariate and nonlinear regression/curve fitting functions.

Language: Python - Size: 143 KB - Last synced: 18 days ago - Pushed: 7 months ago - Stars: 5 - Forks: 1

launchcode01dl/mathematics-for-machine-learning-coursera

quizzes/assignments for mathematics for machine learning specialization on coursera

Language: Jupyter Notebook - Size: 43.6 MB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 406 - Forks: 403

inregards2pluto/cryptocurrencies

Use unsupervised machine learning models to analyze cryptocurrency data.

Language: Jupyter Notebook - Size: 5.64 MB - Last synced: about 2 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

davircarvalho/Individualized_HRTF_Synthesis

Synthesis of individualized HRTFs based on Neural Networks, Principal Component Analysis and anthropometry

Language: MATLAB - Size: 296 MB - Last synced: 20 days ago - Pushed: 8 months ago - Stars: 54 - Forks: 7

MohammadYasinKarbasian/Machine-Learning-Homeworks

This repository contains my solutions and implementations for assignments assigned during the Machine Learning course.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

josiah-mbao/pca-image-compressor

Using Principal Component Analysis to compress images

Language: Python - Size: 107 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

SatvikVarshney/Deep-Learning-for-Spacetime-Classification

This project applies machine learning techniques to the classification of spacetimes in the context of general relativity, specifically addressing the Petrov classification of the Weyl tensor

Language: Jupyter Notebook - Size: 6.16 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

AsithaIndrajith/dr-hqcl

In medical applications with limited training data, traditional self-supervised deep learning struggles for accuracy. This study combines self-supervised learning with Variational Quantum Classifiers (VQC) and Principal Component Analysis (PCA) for dimensionality reduction.

Language: Jupyter Notebook - Size: 881 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 2

bcataldo3/UTSM_Unsupervised_ML

Unsupervised Machine Learning Course

Size: 27.7 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

ramkumarpj/CryptoClustering

Create an unsupervised machine learning model that will predict cryptocurrencies that are affected by 24-hour or 7-day price changes.

Language: Jupyter Notebook - Size: 1.17 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

oliviergimenez/p2cr

Fit principal component capture-recapture model to snow petrel data

Size: 2.83 MB - Last synced: 2 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

enesozi/ML-course-HW2

Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA)

Language: Matlab - Size: 82 KB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

pierremtb/POD-UQNN

Uncertainty Quantification in the POD-NN framework

Language: Python - Size: 9.2 MB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 19 - Forks: 10

taneishi/AqueousSolubility

Representation of aqueous solubility of small molecules using PCA.

Size: 52.7 KB - Last synced: 2 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

batux/mrca_anova_spss

A research project with SPSS about factors which effect the price of Desktop version CPUs

Size: 318 KB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 1 - Forks: 0

cp0153/Racket-PCA-and-Linear-Regression Fork of oplS17projects/Principal-Component-Analysis-and-Linear-Regression

Principal Component Analysis and Linear Regression using Racket

Language: Racket - Size: 329 KB - Last synced: 2 months ago - Pushed: about 7 years ago - Stars: 1 - Forks: 0

myousefi2016/Breast-Cancer-Example

Breast Cancer Example for Combining Machine Learning and Tableau

Language: Jupyter Notebook - Size: 104 KB - Last synced: 2 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

Aariq/PCA-vs-PLS 📦

Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."

Language: R - Size: 310 MB - Last synced: 1 day ago - Pushed: about 3 years ago - Stars: 3 - Forks: 1

IPK-BIT/divbrowse

A web application for interactive visualization and exploratory data analysis of variant call matrices

Language: Svelte - Size: 2.6 MB - Last synced: 3 days ago - Pushed: 10 months ago - Stars: 15 - Forks: 1

eiliaJafari/PCA-handwritten-digits

Figuring out which handwritten digits are most differentiated with PCA.

Language: Jupyter Notebook - Size: 916 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

MohEsmail143/face-recognition

Face Recognition using PCA & LDA dimensionality reduction, then classification using KNN.

Language: Jupyter Notebook - Size: 21.8 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

ShantamGupta/PCA

Principal Component Analysis

Language: Jupyter Notebook - Size: 9.77 KB - Last synced: 2 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

taneishi/PCA

Principal Component Analysis with Python

Language: Python - Size: 104 KB - Last synced: 2 months ago - Pushed: 3 months ago - Stars: 2 - Forks: 1

AbhishekSalian/Principal-Component-Analysis

I have implemented this program from scratch to get better understanding of basics of PCA and mathematics behind this algorithm.

Language: Jupyter Notebook - Size: 591 KB - Last synced: 2 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

apoorvadudani/Positioning-Popular-Consumer-Electronics-Brands-Using-Principal-Component-Analysis

I use R to analyze survey data to position popular consumer electronics brands using Principal Component Analysis, uncovering key perceptual attributes and providing insights for targeted marketing strategies.

Language: R - Size: 46.9 KB - Last synced: 2 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

iosmichael/Datafest-CodeLibrary

Provided various examples of data analytic techniques using R language

Language: R - Size: 1.37 MB - Last synced: 3 months ago - Pushed: about 7 years ago - Stars: 0 - Forks: 1

GeeKboy2/PCA__3D-and-from-scratch__Principal-Component-Analysis

In this project, I will be implementing Principal Component Analysis (PCA) from scratch on an ecological footprint consummation database for countries and a three-dimensional scale using a movie database. The goal of this project is to gain a deeper understanding of PCA and to demonstrate its capabilities in exploring complex datasets.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

fikrianggara/Multivariate-Analysis-on-R

Source code written in R to implement multivariate analysis methods. Covering principal component analysist, factor analysist, clustering, manova, and so on.

Language: R - Size: 2.24 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

elisiojsj/Machine_Learning_Coursera-Solved_Exercises

Exercises I solved for the Machine Learning course at Coursera by Andrew Ng.

Language: Matlab - Size: 25.4 MB - Last synced: 3 months ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 0

abasirat/principal_word_vectors

We use principal component analysis for word embedding. The method is able to process both annotated and raw corpora.

Language: C - Size: 5 MB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 7 - Forks: 2

perezjoan/Clustering-PCA-HCPC

Principal Component Analysis - Hierarchical Clustering on Principle Components on quantitative data

Language: R - Size: 5.04 MB - Last synced: 3 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 1

Doroteo-Arango/ml-facial-verification

Facial verification ML classification model

Language: Jupyter Notebook - Size: 757 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

gdbecker/AnalyticsPortfolio

Analytics Professional Project Work

Language: Jupyter Notebook - Size: 488 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

dmey/synthia

📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

Language: Python - Size: 19.7 MB - Last synced: 9 days ago - Pushed: 8 months ago - Stars: 52 - Forks: 8

zaina826/Dimensionality-Reduction-and-Clustering

With the "Mall Customers" dataset, we explore K-means and agglomerative clustering, and explore the concept of dimensionality reduction using Principal Component Analysis (PCA)

Language: Jupyter Notebook - Size: 271 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

AidasBat/biostatistics

Biostatistical analysis #R

Language: CSS - Size: 8.22 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 1

benedekrozemberczki/NMFADMM

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Language: Python - Size: 7.13 MB - Last synced: 20 days ago - Pushed: almost 2 years ago - Stars: 42 - Forks: 11

friendly/ggbiplot Fork of vqv/ggbiplot

A ggplot2 based biplot for principal components-like methods

Language: HTML - Size: 6.69 MB - Last synced: about 2 months ago - Pushed: 4 months ago - Stars: 6 - Forks: 0

atecon/pcaTools

Package for conducting PCA incl. scree-plot and bi-plot

Language: Shell - Size: 91.8 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

maryamteimouri/DataAnalysis-and-KnowledgeDiscovery

This project aims to practice the steps of Crisp Data Mining ( CRISP-DM ). The repository includes 3 phases, data understanding, supervised learning, and unsupervised learning.

Language: Jupyter Notebook - Size: 481 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

AhmetZamanis/WeatherAnomalyDetectionClassification

Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.

Language: Python - Size: 23.8 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 2 - Forks: 0

federicobrancasi/Mathematics

Detailed notes and exercises for the "Mathematics for Machine Learning" specialization of Imperial College London.

Language: TeX - Size: 488 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

htpusa/spca

Sparse Principal Component Analysis via penalised matrix decomposition

Language: MATLAB - Size: 83 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

marcomedugno/Baseball-Projects

Language: Jupyter Notebook - Size: 2.12 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

RUBi-ZA/MODE-TASK

PCA and normal mode analysis of proteins

Language: C++ - Size: 118 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 15 - Forks: 5

zstachniak/Standard-Error-of-Rotated-Components

Exploring Std. Error of Rotated Components in R

Size: 5.86 KB - Last synced: 4 months ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0

epigen/unsupervised_analysis

A general purpose Snakemake workflow to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

Language: Python - Size: 56 MB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 10 - Forks: 0

Ashishkr6204/Improvised-Face-Detection-and-Recognition-from-video

Implemented multiple face detection algorithms to accurately count and save recognized faces in a designated folder, enhancing detection accuracy. Integrated ShuffleNet and MTCNN successfully. Developed intelligent graphics for project analysis in Excel. Implemented facial recognition using PCA and Eigenfaces for dataset matching.

Language: Python - Size: 0 Bytes - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

jithemji/Video-Content-Analysis

Vallabhya: The Popularity Predictor

Language: Jupyter Notebook - Size: 73.5 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 2

EulersNumber/Municipality-PCA

Multivariate Statistical Analysis course project

Language: R - Size: 3.29 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

Related Keywords
principal-component-analysis 718 machine-learning 231 pca 174 python 138 logistic-regression 100 dimensionality-reduction 87 linear-regression 84 support-vector-machines 73 random-forest 68 kmeans-clustering 65 clustering 61 k-means-clustering 60 data-science 50 classification 50 decision-trees 44 linear-discriminant-analysis 43 machine-learning-algorithms 38 numpy 37 pca-analysis 35 scikit-learn 35 unsupervised-learning 33 pandas 32 neural-networks 32 neural-network 32 r 32 data-analysis 32 data-visualization 30 naive-bayes-classifier 28 python3 28 jupyter-notebook 28 deep-learning 27 singular-value-decomposition 27 linear-algebra 25 regression 25 matlab 25 hierarchical-clustering 25 exploratory-data-analysis 24 support-vector-machine 24 svm 23 sklearn 23 statistics 22 face-recognition 22 anomaly-detection 22 k-means 22 eigenfaces 20 matplotlib 20 unsupervised-machine-learning 20 naive-bayes 19 feature-engineering 19 feature-extraction 19 decision-tree 18 gradient-descent 17 gaussian-mixture-models 17 eigenvectors 17 svm-classifier 17 feature-selection 17 k-nearest-neighbours 17 autoencoder 16 knn-classification 15 recommender-system 15 clustering-algorithm 15 cross-validation 15 multivariate-analysis 15 artificial-neural-networks 14 independent-component-analysis 14 decision-tree-classifier 14 visualization 14 natural-language-processing 13 supervised-learning 13 seaborn 12 agglomerative-clustering 12 k-nearest-neighbors 12 artificial-intelligence 12 svd 12 xgboost 11 knn 11 convolutional-neural-networks 11 eigenvalues 11 coursera 11 factor-analysis 10 kernel-pca 10 data-preprocessing 10 computer-vision 10 dimension-reduction 10 multivariate-statistics 10 ridge-regression 10 lasso-regression 10 image-processing 9 kmeans 9 lda 9 regularization 9 eda 9 t-sne 9 cluster-analysis 8 reinforcement-learning 8 image-classification 8 regression-models 8 data-mining 8 matrix-factorization 8 statistical-analysis 8