Topic: qda Goto Github
Some thing interesting about qda
Some thing interesting about qda
qda,This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.
User: aghapathan
qda,A simple 1-dimensional Gaussian NaΓ―ve Bayes Classifier.
User: agn-7
qda,Simple Machine Learning and Data Science projects as tutorials.
User: agn-7
qda,Boiled egg problems (Solve with LDA, QDA, Naive Bayes Classifiers, decision tree, pruned decision tree)
User: ahmadbsk
qda,Binary Classification Models On Skin Dataset
User: aliosamahassan
qda,Qualitative data analysis using org-mode
User: andersjohansson
Home Page: https://gitlab.com/andersjohansson/orgqda
qda,Code for the chapter published in the Statistical learning book by Elsevier publication.
User: ashutoshganguly1
qda,Code for the chapter published in the Statistical learning book by Elsevier publication.
User: ashutoshganguly123
qda,Probabilistic graphical models home works (MVA - ENS Cachan)
User: chaoukia
qda,A simple data parser to aid in the process of Qualitative Data Analysis with multimodal data
User: dohliam
Home Page: https://dohliam.github.io/thematic-analysis/
qda, 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/)
User: escapist-007
qda,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.
User: haleyegan
qda,Working through all the exercises for An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
User: infinitecuriosity
qda,Statistical Pattern Recognition (classic machine learning)
User: itsatefe
qda,Implementation of LDA and QDA classifiers using the Iris dataset. Includes data normalization, training, testing, and accuracy measurement.
User: jazaoo13
qda,Hotel Booking Cancelations Prediction notebook. Machine learning techniques: supervised learning and classification using Logistic Regression, K-NN, LDA and QDA
User: juanimartinezb
qda,Introduction to Statistical Learning with Application in R[This repo converts the lab solutions and exercise in python]
User: junyanyao
qda,A synchronous Kernels-only competition
User: lance-lh
Home Page: https://www.kaggle.com/c/instant-gratification
qda,Analysis of the Avila bible dataset from the UCI repository using several machine learning algorithms.
User: m-pana
qda,Statistical machine learning
User: martintony4all
qda,Personal reimplementation of some ML algorithms for learning purposes
User: maxencegiraud
qda,statistical learning course by dr. Mohammad zade at Sharif Uni. of Tech
User: mobiiin
qda,This project uses a machine learning QDA model to predict the carrier of commercial airline flights.
User: neversole
qda,Sign Language Digit Classification
User: novinsh
qda,Free open collaborative data analysis software
Organization: openqda
Home Page: https://openqda.org
qda,Comparison of several different models for identification of refugee locations following the 2010 Haiti Earthquake.
User: q-maze
qda,Pseudo-Inverse, Gradient-Stochastic-Steepest Descent, Logistic Regression and LDA-QDA
User: shahjui2000
qda,It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Here, the aim is to analyze the dataset and detect the fradulent transactions.
User: shoaib555
qda,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)
User: shrayanroy
qda,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.
User: sujaytalanki
qda,Heart Failure Prediction for Harvard University Professional Certificate in Data Science Capstone Project, 2nd Capstone Project using R programming
User: swilliamc
qda,EEG classification project. Uses a variety of classifiers and methods to parse EEG data.
User: virolam
qda,Introduction to Data Mining
User: xinyexu
qda,Linear Discriminant Analysis
User: zauverer
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