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GitHub topics: principal-component-analysis

shimo-lab/Universal-Geometry-with-ICA

Discovering Universal Geometry in Embeddings with ICA (Published in EMNLP 2023)

Language: Python - Size: 26.8 MB - Last synced at: about 10 hours ago - Pushed at: about 11 hours ago - Stars: 18 - Forks: 0

dragonfly-ai/slash

Linear Algebra and Statistics library for Scala.js, JVM, and Native.

Language: Scala - Size: 7.4 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 34 - Forks: 5

gdbecker/AnalyticsPortfolio

Analytics Professional Project Work

Language: Jupyter Notebook - Size: 611 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

MadhukarSaiBabu/Interactive-Visualization-of-the-Wine-Dataset-Using-Bokeh-and-Principal-Component-Analysis

This project uses Bokeh to create interactive visualizations of the Wine dataset, revealing relationships among chemical features and cultivar clustering through scatter plots, PCA, and pairwise comparisons for intuitive, real-time data exploration.

Size: 530 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

FabrizioMusacchio/dimensionality_reduction_in_neuroscience

Course material for "Dimensionality reduction in Neuroscience"

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: about 3 hours ago - Pushed at: 8 months ago - Stars: 3 - Forks: 1

btmartin721/SNPio

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

Language: Python - Size: 173 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 1

LChikry/PCA-image-classification-compression 📦

A python code that can recognize similar faces based on a small dataset. Also, it can compress color & gray images using PCA.

Language: Jupyter Notebook - Size: 9.9 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

2020leon/rpca

Python implementation of robust principal component analysis

Language: Python - Size: 16.6 KB - Last synced at: 6 minutes ago - Pushed at: 11 months ago - Stars: 20 - Forks: 3

idblr/ndi

Computes various geospatial indices of socioeconomic deprivation and disparity in the United States

Language: R - Size: 43.8 MB - Last synced at: 6 days ago - Pushed at: 18 days ago - Stars: 22 - Forks: 2

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: 80.5 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 68 - Forks: 36

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 at: 2 days ago - Pushed at: almost 2 years ago - Stars: 20 - Forks: 3

valentingol/torch_pca

Principal Component Anlaysis (PCA) in PyTorch.

Language: Python - Size: 155 KB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 22 - Forks: 3

nsoojin/coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

Language: Python - Size: 21.9 MB - Last synced at: 1 day ago - Pushed at: almost 5 years ago - Stars: 1,416 - Forks: 484

ds-modules/BLDAP-Su21-student

UC Berkeley Lab Director's Apprenticeship Program (BLDAP) Summer 2021

Language: Jupyter Notebook - Size: 9.12 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

dliu18/fair-cf

Code to reproduce the paper "When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations". Published at FAccT'25.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

MaxHalford/prince

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

Language: Python - Size: 8.4 MB - Last synced at: 20 days ago - Pushed at: 24 days ago - Stars: 1,366 - Forks: 188

niitsuma/delayedsparse

Efficient sparse matrix implementation for various "Principal Component Analysis"

Language: Python - Size: 26.4 KB - Last synced at: 9 days ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 2

taneishi/AqueousSolubility

Projection and Classification of Aqueous Solubility of Small Molecules using PCA.

Language: Python - Size: 106 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

taneishi/PCA

Principal Component Analysis using Python.

Language: Python - Size: 114 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 2 - Forks: 1

sisl/ExpFamilyPCA.jl

A Julia package for exponential family principal component analysis (EPCA).

Language: Julia - Size: 17.8 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 8 - Forks: 2

dmey/synthia

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

Language: Python - Size: 19.7 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 64 - Forks: 10

annennenne/PCADSC

An R package for performing Principal Component Analysis-based Data Structure Comparisons (PCADSC)

Language: TeX - Size: 15.2 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 1

John-sam1983/John_Ndaa_Samson_Data_Science_Portfolio

This repository is a compilation of all the data science and in particular Machine Learning projects I have successfully carried out.

Language: Jupyter Notebook - Size: 8.24 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

Marco-Congedo/Diagonalizations.jl

Diagonalization procedures for Julia (PCA, Whitening, MCA, gMCA, CCA, gCCA, CSP, CSTP, AJD, mAJD)

Language: Julia - Size: 2.22 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 35 - Forks: 6

Anubasam13/Compassionate-Decision-Support-for-Patients-Families-Choosing-Post-Acute-Care-Services-

Data-driven tool using CMS Medicare data, Python, R, PCA, regression, and EDA to identify key cost, quality, and access factors influencing post-acute care (PAC) payments. Supports informed decisions for patients and families choosing PAC services.

Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

abess-team/abess

Fast Best-Subset Selection Library

Language: C++ - Size: 209 MB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 485 - Forks: 42

shbrief/GenomicSuperSignature

Interpretation of RNAseq experiments through robust, efficient comparison to public databases

Language: R - Size: 194 MB - Last synced at: about 15 hours ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 8

paololiveri/polibrush

PoliBrush is a freely distributed software designed for teaching exploratory multivariate analysis in the frame of color RGB and spectral imaging. PoliBrush implements principal component analysis (PCA) as its core method. A detailed user guide is provided in the following tutorial paper: https://doi.org/10.1016/j.chemolab.2023.104918

Size: 2.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

tiskw/random-fourier-features

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

Language: Python - Size: 4.2 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 101 - Forks: 23

erdogant/pca

pca: A Python Package for Principal Component Analysis.

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 310 - Forks: 45

abel-research/OpenLimbTT

An Open-Source, synthetic transtibial residual limb anatomic dataset

Language: Python - Size: 136 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 1

billmouzakis/Disseratation-code

In this reposity we can see a data analysis with Covid19 data for many countries in the time period 2020-2022

Language: R - Size: 54.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

olivertomic/hoggorm

Explorative multivariate statistics in Python

Language: Python - Size: 3.95 MB - Last synced at: 1 day ago - Pushed at: almost 4 years ago - Stars: 81 - Forks: 25

armankhatamsaz/PCA-Hyperspectral-Indian-Pines

Python implementation of Principal Component Analysis (PCA) on the Indian Pines hyperspectral dataset for dimensionality reduction and feature analysis. Includes MSE evaluation and visualization of principal components.

Language: Jupyter Notebook - Size: 6.21 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

m-bien/CSC-429-PCA-AE-Project-4

Dimension reduction with PCA and AE

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

RezaSaadatyar/Machine-Learning-with-MATLAB

This repository contains a MATLAB-based Machine Learning Software (MLS) offers advanced biomedical signal processing with an intuitive GUI for analyzing EEG, ECG, and EMG. Features include noise filtering, feature extraction, dimensionality reduction, and customizable machine learning algorithms for tailored classification and analysis.

Language: MATLAB - Size: 25.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

arnaldog12/Machine_Learning

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

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 223 - Forks: 62

venkideshVenu/S5-KTU-Python-and-Machine-Learining-Lab

Repository for the S5 Python and Machine Learning (2019 Scheme) at Kerala Technological University (KTU) designed to strengthen foundational skills in data analysis and machine learning

Language: Jupyter Notebook - Size: 3.81 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Parveshdhull/FaceRecognitionUsing-PCA-2D-PCA-And-2D-Square-PCA

Implementation of PCA/2D-PCA/2D(Square)-PCA in Python for recognizing Faces: 1. Single Person Image 2. Group Image 3. Recognize Face In Video

Language: Python - Size: 4.33 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 52 - Forks: 22

sm00thix/cvmatrix

Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).

Language: Python - Size: 1.36 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 22 - Forks: 2

raquelmangual/raqueltechie-PCA

Principal Component Analysis aka PCA using R.

Language: R - Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

JenithaLessie/Principal-Component-Analysis-PCA

Compressing Feature Space For Classification Using PCA

Size: 606 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - 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 at: about 1 month ago - Pushed at: about 7 years ago - Stars: 27 - Forks: 25

havelhakimi/BankMarketing

Perform anomaly detection on Bank Marketing dataset

Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0

cschen1205/cs-pca

Principal Component Analysis implemented in C#

Language: C# - Size: 3.23 MB - Last synced at: 10 days ago - Pushed at: about 7 years ago - Stars: 6 - 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 at: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 1

Sand-jrd/GreeDS

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

Language: Python - Size: 76.2 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

aritra90/TeraPCA

TeraPCA is a multithreaded C++ software suite based on Intel's MKL library (or any other BLAS and/or LAPACK distribution). TeraPCA features no dependencies to external libraries and combines the robustness of subspace iteration with the power of randomization.

Language: C++ - Size: 375 KB - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 4

epigen/unsupervised_analysis

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

Language: Python - Size: 56 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 26 - Forks: 4

antoinecollas/Entropic_Wasserstein_Component_Analysis

Python of "Entropic Wasserstein Component Analysis" paper

Language: Python - Size: 930 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 0

TYehan/ML-Practiacal

Practicals on Machine Learning to understand how to use each and every Core Principals/Concepts with real scenarios (examples) for each. :Machine Learning module in University Final Year :SE

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

avrtt/price-profiler

E-commerce pricing optimization & dynamic user profiling

Language: Python - Size: 15.6 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

AsadiAhmad/PCA

Dimension Reduction with PCA

Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 27 - Forks: 0

laura-budurlean/PCA-Ethnicity-Determination-from-WGS-Data

A pipeline utilizing PCA on 1000 genomes and WGS data from your own samples to determine or validate ancestry of an individual.

Language: Shell - Size: 43 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

selbouhaddani/OmicsPLS

R package for High dimensional data analysis and integration with O2PLS!

Language: HTML - Size: 31.4 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 32 - Forks: 8

imharshag/NIDS-using-ML

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats

Size: 105 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 9 - Forks: 1

sushant1827/Creating-Customer-Segments

Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor

Language: Jupyter Notebook - Size: 551 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

erichson/rSVD

Randomized Matrix Decompositions using R

Language: R - Size: 27.5 MB - Last synced at: 13 days ago - Pushed at: about 4 years ago - Stars: 99 - Forks: 24

asaficontact/FX_forecasting_model

Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"

Language: Python - Size: 667 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 30 - Forks: 18

pierremtb/POD-UQNN

Uncertainty Quantification in the POD-NN framework

Language: Python - Size: 9.2 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 22 - Forks: 10

kennethleungty/Principal-Component-Regression

Principal Component Regression - Clearly Explained and Implemented

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 5

xstarkit/pca-code

PCA code for X-ray data

Language: Python - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

YousefAlaaAli/Video-Game-Sales

Data Analysis Project - Video Game Sales

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Awrsha/Advanced-Deep-Learning-AI-Projects

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: 77.1 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

bwlewis/irlba

Fast truncated singular value decompositions

Language: R - Size: 2.63 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 129 - Forks: 17

erichson/ristretto

Randomized Dimension Reduction Library

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: about 22 hours ago - Pushed at: about 4 years ago - Stars: 115 - Forks: 26

AsadiAhmad/Image-Classification-LDA-and-PCA

Image Classification with Perceptron and LDA and PCA dimension reduction

Language: Jupyter Notebook - Size: 481 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 26 - Forks: 0

sylvaincom/anomaly-detection-PCA

Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.

Language: MATLAB - Size: 431 KB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1

PacktWorkshops/The-Unsupervised-Learning-Workshop

An Interactive Approach to Understanding Unsupervised Learning Algorithms

Language: Jupyter Notebook - Size: 115 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 32

MaksimEkin/COVID19-Literature-Clustering

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.

Language: HTML - Size: 201 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 93 - Forks: 57

pbloem/pca-book

Source files for a book on Principal component analysis

Language: TeX - Size: 326 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 37 - Forks: 0

williamfoote/minimage

An image compression app built on Flask using Python. Containerized with Docker.

Language: Python - Size: 138 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

YevgeniyEngineer/LiDAR-Processing-V2

LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".

Language: C++ - Size: 243 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 26 - Forks: 1

taneishi/LeukemiaClustering

Hierarchical Clustering of Leukemia Gene Expression Dataset

Language: Python - Size: 106 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

ljhack/merchant-categorization

An AI-powered system to categorize merchants from transactional data using NLP and clustering techniques!

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

fredhallgren/nystrompca

Efficient non-linear PCA through kernel PCA with the Nyström method

Language: Jupyter Notebook - Size: 4.43 MB - Last synced at: 22 days ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 0

zavtech/morpheus-core

The foundational library of the Morpheus data science framework

Language: Java - Size: 56.1 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 240 - Forks: 22

sehaj003/Telco-Churn-Analysis

This repository contains files (dataset and Jupyter codebooks) for a project aimed to build machine learning models to predict customer churn based on given parameters.

Language: Jupyter Notebook - Size: 777 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Shailesh-Padhariya/Market-Segmentation

This project applies KMeans clustering to segment customers based on their credit card usage patterns. Using features like balance, purchase frequency, credit limit, and payments, the model identifies distinct customer groups.

Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

aaravgupta626/penguin-classifier

Create a supervised ML program using to classify different breeds of penguins.

Language: Python - Size: 12.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

firatolcum/Machine_Learning_Course

This repository contains the Machine Learning lessons I took from the Clarusway Bootcamp between 10 Aug - 14 Sep 2022 and includes 17 sessions, 5 labs, 4 case studies, 5 weekly agendas, and 3 projects.

Language: Jupyter Notebook - Size: 237 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 1

intel00000/stahl_data_science

Mapping chemical method into chemical space to assess and predict the performance of different methods across the chemical space

Language: Jupyter Notebook - Size: 1.75 GB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mohiteamit/telecom-churn-casestudy

Telecom Churn Case Study | Machine Learning | IIITB

Language: Jupyter Notebook - Size: 29 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Boxxxi/merchant-categorization

An AI-powered system to categorize merchants from transactional data using NLP and clustering techniques!

Language: Python - Size: 20.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

catarinaploureiro/interval-valued-data-analysis

Interval-Valued Principal Component Analysis and Anomaly Detection

Language: R - Size: 1.97 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Fraggle460/Data-Mining-

These are a series of data mining workshops using Jupyter Notebook v 7.0.8 running on Python 3.12.4 programming language.

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

bayuprasv/Customer-Segmentation-with-Principal-Component-Analysis-and-K-Means-Clustering

Language: Jupyter Notebook - Size: 22.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

GabrielIamato/spotify_musics_analysis

Analysis of Popular Songs on Spotify (2023) - A data-driven exploration of the most streamed songs, uncovering trends, correlations, and insights using Python, data visualization, and statistical techniques.

Language: Jupyter Notebook - Size: 3.24 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

rtjoa/deep-face-morph

Compares significant features in faces with a convolutional autoencoder and PCA.

Language: Python - Size: 4.37 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

david-palma/mathematics-for-machine-learning

Mathematics for Machine Learning is a specialisation in which you will master the fundamental mathematical toolkit for machine learning: calculus, linear algebra, statistics, and probability.

Language: Jupyter Notebook - Size: 781 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Baschin1103/Principal_component_analysis

In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.

Language: Python - Size: 136 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

madhurimarawat/Data-Visualization-using-python

This repository contains data visualization programs on various datasets done using python.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 2

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: 8.01 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

Jonah-gr/FID-Evaluator

The FID-Evaluator is a tool to analyze how the FID behaves when the embedding space is reduced.

Language: Python - Size: 3.52 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

rynanda/Reidentification-Multitask-Learning-Fine-Tuning

Person reidentification using PCA and deep learning Siamese networks and multi-task learning and fine tuning on the Oxford-IIIT Pets Dataset.

Language: Jupyter Notebook - Size: 142 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

MichaelC-Lawson/MSDA_Program_Portfolio

MSDA Program Portfolio

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Siva-Anand006/PyData_Lab

Language: Jupyter Notebook - Size: 2.05 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

asaficontact/learning_to_beat_the_random_walk

In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.

Language: TeX - Size: 147 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 10

sreeja-yalamaddi/Customer-Market-Segmentation-for-GAP

Applied PCA and K-Means clustering on customer data, identifying distinct behavioral segments and actionable insights for marketing strategies. using SAS

Language: SAS - Size: 755 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

tirthajyoti/R-stats-machine-learning

Misc Statistics and Machine Learning codes in R

Language: R - Size: 2.02 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 42 - Forks: 30

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principal-component-analysis 866 machine-learning 269 pca 207 python 176 logistic-regression 119 dimensionality-reduction 109 linear-regression 95 support-vector-machines 82 random-forest 80 kmeans-clustering 76 clustering 72 k-means-clustering 72 data-science 64 classification 56 decision-trees 51 linear-discriminant-analysis 50 machine-learning-algorithms 49 data-visualization 46 numpy 43 unsupervised-learning 43 pca-analysis 42 scikit-learn 42 exploratory-data-analysis 41 pandas 39 data-analysis 38 r 37 neural-networks 37 jupyter-notebook 35 neural-network 35 unsupervised-machine-learning 33 python3 32 naive-bayes-classifier 31 singular-value-decomposition 29 face-recognition 29 hierarchical-clustering 29 matlab 28 sklearn 28 matplotlib 27 regression 27 statistics 27 deep-learning 27 support-vector-machine 27 eigenfaces 26 svm 26 linear-algebra 26 anomaly-detection 24 k-means 23 decision-tree 23 feature-engineering 22 naive-bayes 21 feature-extraction 21 k-nearest-neighbours 21 gaussian-mixture-models 20 autoencoder 20 svm-classifier 19 knn-classification 19 clustering-algorithm 18 decision-tree-classifier 18 gradient-descent 18 eigenvectors 18 recommender-system 17 supervised-learning 17 cross-validation 17 feature-selection 17 visualization 16 multivariate-analysis 16 artificial-neural-networks 16 independent-component-analysis 15 knn 15 seaborn 15 k-nearest-neighbors 14 natural-language-processing 14 agglomerative-clustering 13 svd 13 xgboost 13 artificial-intelligence 13 data-mining 12 dbscan-clustering 12 convolutional-neural-networks 12 tsne 12 cluster-analysis 12 computer-vision 12 coursera 12 eigenvalues 12 image-classification 12 dimension-reduction 12 kmeans 11 ridge-regression 11 lasso-regression 11 eda 11 data-preprocessing 11 mnist 10 multivariate-statistics 10 image-processing 10 regularization 10 statistical-analysis 10 regression-models 10 factor-analysis 10 t-sne 10 kernel-pca 10