GitHub topics: qda
openqda/openqda
Free open collaborative qualitative data analysis software
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RQDA/RQDA 📦
R-based Qualitative Data Analysis (rqda.r-forge.r-project.org)
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RubyNouriK/Customer-Response-Portuguese-Bank-Marketing-Campaigns
his University of Calgary DATA606 – Advanced Statistical Methods project examines a Portuguese bank’s telemarketing campaign, using statistical models to identify factors influencing term deposit subscriptions and provide recommendations to improve customer targeting and campaign effectiveness.
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BleztRow/ModelFitting-Classification-Techniques
implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection, and Phoneme datasets for practical classification tasks. parameter estimation, performance evaluation, feature selection using Mutual Information.
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armankhatamsaz/ModelFitting-Classification-Techniques
implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection, and Phoneme datasets for practical classification tasks. parameter estimation, performance evaluation, feature selection using Mutual Information.
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openqda/user-docs
The user manual / documentation of OpenQDA
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Escapist-007/ML_Projects
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
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mobiiin/statistical-learning
statistical learning course by dr. Mohammad zade at Sharif Uni. of Tech
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dohliam/thematic-analysis
A simple data parser to aid in the process of Qualitative Data Analysis with multimodal data
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Yoonyoung-Cho/HR_Data_predicting_employee_resignition_2019
2019.12.12 개인 프로젝트. 직원의 퇴사를 예측하고 퇴사 이유 및 해결방안 제시
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mtopacio35/STA-135-Project
analysis of PimaIndiansDiabetes dataset in R, utilizing multivariate data techniques of QDA, PCA, factor analysis
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jazaoo13/LDA_QDA_Iris_Dataset
Implementation of LDA and QDA classifiers using the Iris dataset. Includes data normalization, training, testing, and accuracy measurement.
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artdelpi/Projeto2_IA_UnB_2024_1
Análise de resultados obtidos na classificação de dados gerados por IA ou humanos, ao utilizar diferentes algoritmos de classificação supervisionada.
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itsatefe/Pattern-Recognition
Statistical Pattern Recognition (classic machine learning)
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andersjohansson/orgqda
Qualitative data analysis using org-mode
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shahjui2000/ML_codes
Pseudo-Inverse, Gradient-Stochastic-Steepest Descent, Logistic Regression and LDA-QDA
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Chaoukia/Probabilistic-Graphical-Models
Probabilistic graphical models home works (MVA - ENS Cachan)
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martintony4all/Statistical-Machine-Learning
Statistical machine learning
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AshutoshGanguly123/Classification-Algorithms
Code for the chapter published in the Statistical learning book by Elsevier publication.
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novinsh/multivariate-project
Sign Language Digit Classification
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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.
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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)
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ViRoLam/EEG_BCI
EEG classification project. Uses a variety of classifiers and methods to parse EEG data.
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AliOsamaHassan/Binary-Classification-Models-On-Skin-Dataset
Binary Classification Models On Skin Dataset
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AhmadBsk/Boiled-egg-problems
Boiled egg problems (Solve with LDA, QDA, Naive Bayes Classifiers, decision tree, pruned decision tree)
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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.
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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.
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m-pana/avila
Analysis of the Avila bible dataset from the UCI repository using several machine learning algorithms.
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q-maze/DisasterResponse
Comparison of several different models for identification of refugee locations following the 2010 Haiti Earthquake.
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agn-7/machine_learning_projects
Simple Machine Learning and Data Science projects as tutorials.
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agn-7/gaussian_naive_bayes_classifier
A simple 1-dimensional Gaussian Naïve Bayes Classifier.
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MaxenceGiraud/MachineLearningAlgos
Personal reimplementation of some ML algorithms for learning purposes
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Zauverer/exce_Linear_Discriminant_Analysis
Linear Discriminant Analysis
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swilliamc/Capstone2
Heart Failure Prediction for Harvard University Professional Certificate in Data Science Capstone Project, 2nd Capstone Project using R programming
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lucas26xd/Tests_QDA
Simple test with binary QDA using 1 vs 1. Dataset with three classes.
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