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39 search results found

Prince ⭐ 1,161

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

Coursera Ml Py ⭐ 1,032

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

Fast Best-Subset Selection Library

Speech_signal_processing_and_classification ⭐ 203

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 discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of th

Machine_learning ⭐ 183

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

Anomaly Detection ⭐ 99

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

Ristretto ⭐ 94

Randomized Dimension Reduction Library

Random Fourier Features ⭐ 66

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

Do you look like a Nobel Laureate 🎖️, Physicist, Chemist, Mathematician, Actor or a Programmer? God gave you one face and you went on to get a peek into the mind of God. 🌩️

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).

Explorative multivariate statistics in Python

Maximum Covariance Analysis in Python

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

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

Machine_learing_algo_python ⭐ 21

implement the machine learning algorithms by python for studying

Machine_learning_a Z_all_codes_and_templates ⭐ 20

All codes, both created and optimized for best results from the SuperDataScience Course

Fault Detection For Predictive Maintenance In Industry 4.0 ⭐ 19

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

Reconstruction And Compression Of Color Images ⭐ 18

Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm

Reinforcement Learning Feature Selection ⭐ 13

Feature selection for maximizing expected cumulative reward

Facerecognitionusing Pca 2d Pca And 2d Square Pca ⭐ 12

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

Fx_forecasting_model ⭐ 10

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

Mode Task ⭐ 10

PCA and normal mode analysis of proteins

Unsupervised_analysis ⭐ 9

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

Ekg_analysis ⭐ 9

EKG Analysis code for the MI3 intern group at CHOC Children's

Malware Detection Of Pe Files ⭐ 8

This project is Malware detection API using ML and CNN techniques

Fanalysis ⭐ 8

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

Breast Cancer Diagnosis Using Machine Learning ⭐ 8

Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.

Subspace Graph Physics ⭐ 8

Subspace Graph Physics

Ghi Assessment Using Svr And Brr ⭐ 7

Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression

Pcahyperspectralclassifier ⭐ 6

Classification of Hyperspectral Images ( HSIs ) with Principal Component Analysis ( PCA ) in CUDA ( cuBLAS ).

Applied Machine Learning ⭐ 6

Applied Machine Learning

Shapevariationanalyzer ⭐ 6

Shape modeling and classification, extract shape features

Ipl And Principal Component Analysis ⭐ 6

IPL Best Batsman and Best Bowler using Principal Component Analysis

Python implementation of robust principal component analysis

Kdd Cup 99 Python ⭐ 6

Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn

Blog Post About Pca ⭐ 5

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 implementation of STATIS for analysis of several data tables

Gpu_gspca ⭐ 5

Python and C/C++ library for fast, accurate PCA on the GPU

Entropic_wasserstein_component_analysis ⭐ 5

Python of "Entropic Wasserstein Component Analysis" paper

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