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linear-discriminant-analysis

Here are 219 public repositories matching this topic...

gionanide / Speech_Signal_Processing_and_Classification

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

Updated Mar 3, 2023
Python

arnaldog12 / Machine_Learning

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

Updated Apr 27, 2022
Jupyter Notebook

machine-learning

je-suis-tm / machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors

Updated Dec 16, 2022
Jupyter Notebook

TatevKaren / data-science-popular-algorithms

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

machine-learning scala python3 datascience xgboost recommendation-system kmeans lda data-science-portfolio decision-tree linear-discriminant-analysis lda-model movie-recommender

Updated Dec 21, 2023
Jupyter Notebook

hiroyuki-kasai / ClassifierToolbox

A MATLAB toolbox for classifier: Version 1.0.7

linear-regression pca classification src face-recognition support-vector-machines manifold sparse-coding dictionary-learning matlab-toolbox principal-component-analysis covariance-matrix eigenfaces linear-discriminant-analysis subspace spd classification-algorithims manifold-optimization symmetric-positive-definite

Updated Jan 5, 2023
MATLAB

JEFworks / MUDAN

Multi-sample Unified Discriminant ANalysis

visualization transcriptomics single-cell subpopulation linear-discriminant-analysis

Updated Apr 11, 2023
R

snatch59 / cnn-svm-classifier

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

random-forest tensorflow support-vector-machine confusion-matrix t-sne multi-layer-perceptron classify-images quadratic-discriminant-analysis linear-discriminant-analysis k-nearest-neighbors extra-trees-classifier

Updated Dec 9, 2018
Python

jbramburger / Data-Science-Methods

This repository contains lecture notes and codes for the course "Computational Methods for Data Science"

education matlab data-analysis spectrogram fourier-series lecture-notes principal-component-analysis image-denoising linear-discriminant-analysis singular-value-decomposition independent-component-analysis dynamic-mode-decomposition time-frequency-analysis delay-coordinates

Updated Mar 18, 2021
MATLAB

zhaoyichanghong / machine_learing_algo_python

implement the machine learning algorithms by python for studying

machine-learning deep-learning neural-network linear-regression collaborative-filtering gaussian-mixture-models gbdt logistic-regression tf-idf kmeans adaboost support-vector-machines decision-tree principal-component-analysis linear-discriminant-analysis spectral-clustering isolation-forest k-nearest-neighbor rbf-network gaussian-discriminant-analysis

Updated Oct 24, 2019
Python

Puneet2000 / In-Depth-ML

In depth machine learning resources

machine-learning svm probability cross-validation regression cnn kaggle gan rnn ensemble logistic-regression preprocessing decision-trees boosting-algorithms stacking linear-discriminant-analysis boosting perceptron-learning-algorithm transpose-convolution

Updated Dec 4, 2018
Jupyter Notebook

uzairakbar / info-retrieval

Information Retrieval in High Dimensional Data (class deliverables)

svm embeddings neural-networks logistic-regression principal-component-analysis convex-optimization linear-discriminant-analysis kernel-trick

Updated Aug 2, 2018
Jupyter Notebook

rahul-38-26-0111-0003 / Network-based-Intrusion-Detection-Systems

Final Year project based upon Network Intrusion Detection System

machine-learning correlation random-forest naive-bayes scikit-learn python3 logistic-regression adaboost decision-tree quadratic-discriminant-analysis linear-discriminant-analysis knn-classification multilayer-perceptron sgd-classifier linearsvc

Updated Jul 10, 2019
Jupyter Notebook

Machine-Learning-Toolbox

JingweiToo / Machine-Learning-Toolbox

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

data-science random-forest naive-bayes machine-learning-algorithms cross-validation classification gaussian-mixture-models support-vector-machine confusion-matrix decision-tree linear-discriminant-analysis holdout ensemble-classifier leave-one-out-cross-validation k-nearest-neighbor

Updated Jan 10, 2021
MATLAB

kbasu2016 / Autism-Detection-in-Adults

This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.

random-forest naive-bayes-classifier supervised-learning support-vector-machine data-wrangling decision-tree-classifier k-nearest-neighbours quadratic-discriminant-analysis linear-discriminant-analysis mlp-classifier data-cleansing logistic-regression-models

Updated May 15, 2018
Jupyter Notebook

OhmGeek / FacialLivenessTests

Liveness Tests For Facial Recognition

residual-networks linear-discriminant-analysis iqa antispoofing liveness-detection voxnet

Updated Sep 25, 2020
Python

kaur-anupreet / Software-Defect-Prediction

Application of Deep Learning and Feature Extraction in Software Defect Prediction

python deep-neural-networks deep-learning decision-trees linear-discriminant-analysis principle-component-analysis kernel-pca

Updated Mar 25, 2020
Python

dehaoterryzhang / Iris_Classification

Iris classification with Python Scikit-learn 🌼

svm naive-bayes-classifier classification logistic-regression decision-tree quadratic-discriminant-analysis linear-discriminant-analysis

Updated Dec 8, 2022
Jupyter Notebook

StarlangSoftware / Classification-Py

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm bagging-trees autoencoder-classification

Updated Jul 23, 2023
Python

paulbrodersen / somnotate

Automated polysomnography for experimental animal research

python hidden-markov-model linear-discriminant-analysis time-series-analysis polysomnography

Updated Jan 19, 2024
Python

fkupilik / MNE_ML

BrainVision EEG data classification using the MNE, Keras and the scikit-learn libraries.

machine-learning deep-learning neural-network scikit-learn keras recurrent-neural-networks eeg classification convolutional-neural-networks svm-classifier lstm-neural-networks mne-python linear-discriminant-analysis eeg-classification brainvision

Updated Mar 24, 2023
Python

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