Ecosyste.ms: Repos

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

GitHub topics: qda

openqda/openqda

Free open collaborative data analysis software

Language: Vue - Size: 4.77 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 3 - Forks: 0

agn-7/gaussian_naive_bayes_classifier

A simple 1-dimensional Gaussian NaΓ―ve Bayes Classifier.

Language: Jupyter Notebook - Size: 19.5 KB - Last synced: 26 days ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

RQDA/RQDA πŸ“¦

R-based Qualitative Data Analysis (rqda.r-forge.r-project.org)

Language: R - Size: 726 KB - Last synced: 15 days ago - Pushed: almost 2 years ago - Stars: 37 - Forks: 6

itsatefe/Pattern-Recognition

Statistical Pattern Recognition (classic machine learning)

Language: Jupyter Notebook - Size: 58.8 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 2 - Forks: 0

andersjohansson/orgqda

Qualitative data analysis using org-mode

Language: Emacs Lisp - Size: 793 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 28 - Forks: 2

shahjui2000/ML_codes

Pseudo-Inverse, Gradient-Stochastic-Steepest Descent, Logistic Regression and LDA-QDA

Language: Jupyter Notebook - Size: 18.4 MB - Last synced: 8 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

Chaoukia/Probabilistic-Graphical-Models

Probabilistic graphical models home works (MVA - ENS Cachan)

Language: Jupyter Notebook - Size: 2.4 MB - Last synced: 8 months ago - Pushed: about 5 years ago - Stars: 5 - Forks: 0

martintony4all/Statistical-Machine-Learning

Statistical machine learning

Language: R - Size: 4.16 MB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

AshutoshGanguly123/Classification-Algorithms

Code for the chapter published in the Statistical learning book by Elsevier publication.

Language: Jupyter Notebook - Size: 3.99 MB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

novinsh/multivariate-project

Sign Language Digit Classification

Language: R - Size: 9.71 MB - Last synced: 10 months ago - Pushed: about 6 years ago - Stars: 4 - Forks: 0

InfiniteCuriosity/An-Introduction-To-Statistical-Learning

Working through all the exercises for An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.

Size: 399 KB - Last synced: 10 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

ShrayanRoy/Bankruptcy-Prediction

Project of a coursework - Multivariate Analysis (M.Stat Semester 2) under the supervision of Prof. Swagata Nandi. (Project Group : Adrija Saha, Shrayan Roy, Sampurna Mondal)

Language: JavaScript - Size: 4.15 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

ViRoLam/EEG_BCI

EEG classification project. Uses a variety of classifiers and methods to parse EEG data.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

AliOsamaHassan/Binary-Classification-Models-On-Skin-Dataset

Binary Classification Models On Skin Dataset

Language: Jupyter Notebook - Size: 1.38 MB - Last synced: over 1 year ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 0

AhmadBsk/Boiled-egg-problems

Boiled egg problems (Solve with LDA, QDA, Naive Bayes Classifiers, decision tree, pruned decision tree)

Language: MATLAB - Size: 32.2 KB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

HaleyEgan/Haiti-Earthquake-Disaster-Relief

The goal of this disaster relief project was to test supervised learning algorithms on imagery data collected after the 2010 Haiti earthquake, in order to locate and provide aid to survivors as quickly as possible.

Size: 10.7 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

dohliam/thematic-analysis

A simple data parser to aid in the process of Qualitative Data Analysis with multimodal data

Language: HTML - Size: 1.03 MB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 0

SujayTalanki/Breast-Cancer-Classification-in-R

In this project, I use several different classification algorithms to predict whether a patient has breast cancer or not. This project uses K-fold cross validation, logistic regression, LDA, QDA, SVM, and model tuning techniques to achieve a 96% accuracy rate. This project was completed via R Markdown and LaTex.

Size: 607 KB - Last synced: 12 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

m-pana/avila

Analysis of the Avila bible dataset from the UCI repository using several machine learning algorithms.

Language: HTML - Size: 4.72 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 2

agn-7/machine_learning_projects

Simple Machine Learning and Data Science projects as tutorials.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

MaxenceGiraud/MachineLearningAlgos

Personal reimplementation of some ML algorithms for learning purposes

Language: Python - Size: 297 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 7 - Forks: 2

Zauverer/exce_Linear_Discriminant_Analysis

Linear Discriminant Analysis

Language: Jupyter Notebook - Size: 293 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

lucas26xd/Tests_QDA

Simple test with binary QDA using 1 vs 1. Dataset with three classes.

Language: MATLAB - Size: 2.93 KB - Last synced: over 1 year ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0

Related Keywords
qda 23 lda 14 logistic-regression 9 machine-learning 5 knn 5 r 4 classification 4 linear-regression 4 random-forest 4 pca 4 python 3 quadratic-discriminant-analysis 3 python3 2 svm 2 multivariate-analysis 2 knn-classification 2 machine-learning-algorithms 2 naive-bayes-classifier 2 linear-discriminant-analysis 2 svm-classifier 2 pca-analysis 2 research 2 qualitative-data-analysis 2 qualitative-analysis 2 decision-tree 2 naive-bayes 2 keras 1 jupyterlab 1 skin-dataset 1 binary-classification 1 tensorflow 1 boiled-egg 1 power-spectral-density 1 moabb 1 fourier-transform 1 fourier-analysis 1 eeg-data 1 eeg-classification 1 eeg-analysis 1 eeg 1 convolutional-neural-networks 1 compressed-sensing 1 factor 1 eda 1 bankruptcy-prediction 1 linear 1 matlab 1 standard-scaler 1 seaborn 1 matplotlib 1 label-encoding 1 classification-report 1 smo 1 reinforcement-learning 1 regression 1 kernels 1 gaussian-process-regression 1 deep-learning 1 dbscan 1 convolution 1 clustering 1 bayesian 1 bandit-algorithms 1 tutorial 1 nbc 1 data-science 1 ridge-classifier 1 avila 1 model-tuning 1 model-selection 1 latex 1 k-fold-cross-validation 1 qualitative-research 1 multimodal-analysis 1 supervised-machine-learning 1 10-fold-cross-validation 1 pruned-decision-tree 1 gradient-descent 1 gradient 1 descent 1 binary 1 org-mode 1 emacs 1 softmax-regression 1 regression-models 1 ovo 1 ova 1 non-linear-svm 1 linear-svm 1 kmeans 1 kde 1 histogram 1 gmm 1 fisher-lda 1 beyesian-classifiers 1 rqda 1 rpkg 1 gaussian-naive-bayes 1 bayes-rule 1 zemki 1