quadratic-discriminant-analysis

There are 1 repository under quadratic-discriminant-analysis topic.

kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
stock prediction predictive-modeling predictive-analysis guassian-processes svm-classifier knn-classifier adaboost decision-tree parameter-tuning gridsearchcv pipeline random-forest quadratic-discriminant-analysis logistic-regression algorithmic-trading stocks
Language:Jupyter Notebook 133
snatch59 / cnn-svm-classifier
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
support-vector-machine confusion-matrix classify-images quadratic-discriminant-analysis linear-discriminant-analysis t-sne random-forest extra-trees-classifier k-nearest-neighbors multi-layer-perceptron tensorflow
Language:Python 62
rahul-38-26-0111-0003 / Network-based-Intrusion-Detection-Systems
Final Year project based upon Network Intrusion Detection System
python3 scikit-learn machine-learning adaboost decision-tree naive-bayes knn-classification linear-discriminant-analysis linearsvc logistic-regression multilayer-perceptron quadratic-discriminant-analysis random-forest sgd-classifier correlation
Language:Jupyter Notebook 36
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.
supervised-learning mlp-classifier naive-bayes-classifier decision-tree-classifier logistic-regression-models random-forest support-vector-machine quadratic-discriminant-analysis k-nearest-neighbours data-wrangling data-cleansing linear-discriminant-analysis
Language:Jupyter Notebook 26
dehaoterryzhang / Iris_Classification
Iris classification with Python Scikit-learn :blossom:
classification linear-discriminant-analysis quadratic-discriminant-analysis svm naive-bayes-classifier logistic-regression decision-tree
Language:Jupyter Notebook 15
StarlangSoftware / Classification-Py
Machine learning library for classification tasks
decision-tree-classifier dataset-manager autoencoder-classification bagging-trees decision-stumps multilayer-perceptron-network deep-neural-networks rocchio-algorithm classification-algorithm linear-discriminant-analysis multilayer-perceptron naive-bayes-classifier quadratic-discriminant-analysis random-forest-classifier feature-selection subset-selection pca statistical-tests
Language:Python 13
Empirical_Study_of_Ensemble_Learning_Methods
timothygmitchell / Empirical_Study_of_Ensemble_Learning_Methods
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
random-forest extratreesclassifier conditional-inference-trees xgboost knn-classification naive-bayes-classifier gaussian-processes elastic-net neural-network support-vector-machines ensemble-learning logistic-regression linear-discriminant-analysis quadratic-discriminant-analysis splines
Language:R 11
tugrulhkarabulut / Gaussian-Discriminant-Analysis
Gaussian Discriminant Analysis introduction and Python implementation from scratch
classification gaussian-discriminant-analysis linear-discriminant-analysis machine-learning python quadratic-discriminant-analysis supervised-learning
Language:Jupyter Notebook 9
bagheri365 / ML-Models-for-Classification
Tour of Machine Learning Algorithms for Binary/Multiclass Classification
binary-classification multiclass-classification logistic-regression k-nn naive-bayes svm linear-svm rbf-svm decision-tree random-forest quadratic-discriminant-analysis voting-classifier multi-layer-perceptron
Language:Jupyter Notebook 8
StarlangSoftware / Classification
Machine learning library for classification tasks
decision-tree-classifier dataset-manager autoencoder-classification bagging-trees decision-stumps multilayer-perceptron-network deep-neural-networks rocchio-algorithm knn-algorithm classification-algorithms linear-discriminant-analysis multilayer-perceptron naive-bayes-classifier quadratic-discriminant-analysis random-forest-classifier support-vector-machine-svm feature-selection subset-selection pca statistical-tests
Language:Java 8
StarlangSoftware / Classification-CPP
Machine learning library for classification tasks
decision-tree-classifier dataset-manager autoencoder-classification bagging-trees decision-stumps multilayer-perceptron-network deep-neural-networks rocchio-algorithm classification-algorithms knn-algorithm linear-discriminant-analysis multilayer-perceptron naive-bayes-classifier quadratic-discriminant-analysis random-forest-classifier support-vector-machine-svm feature-selection subset-selection pca statistical-tests
Language:C++ 7
Chaoukia / Probabilistic-Graphical-Models
Probabilistic graphical models home works (MVA - ENS Cachan)
linear-regression logistic-regression lda linear-discriminant-analysis qda quadratic-discriminant-analysis probabilistic-graphical-models mva em-algorithm gaussian-mixtures hidden-markov-models viterbi-algorithm belief-propagation
Language:Jupyter Notebook 6
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/)
machine-learning classification-algorithm regression-algorithms linear-discriminant-analysis-lda quadratic-discriminant-analysis lda qda linear-regression ridge-regression non-linear-regression neural-network backpropagation regularization bias-variance-tradeoff tensorflow handwritten-digit-recognition mnist-handwriting-recognition mlp-network svm-classifier multiclass-logistic-regression
Language:Jupyter Notebook 4
Statistical_Learning
clissa / Statistical_Learning
Overview of statistical learning methods for classification
statistical-learning logistic-regression generalized-additive-models regularization linear-discriminant-analysis quadratic-discriminant-analysis knn linear-regression r r-markdown
Language:HTML 3
Comparing-6-Classifiers-for-Sepsis-Dataset
HCYENDLURI / Comparing-6-Classifiers-for-Sepsis-Dataset
To Detect Sepsis Disease using six Classifiers on clinical data
mlp-classifier adaboost-learning linear-discriminant-analysis quadratic-discriminant-analysis gradient-boosting-classifier gaussian-naive-bayes sepsis accuracy-metrics
Language:Jupyter Notebook 3
ocramz / cmbnt-test
classification-algorithm microservice data-science data-engineering docker classification fisher-discriminant-analysis quadratic-discriminant-analysis data-mining rest-api statistical-learning
Language:Haskell 2
rameshgkwd05 / Accelerometer-Biometric
Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)
accelerometer-data support-vector-machine kaggle quadratic-discriminant-analysis nearest-neighbors lda
Language:Python 2
agn-7 / gaussian_naive_bayes_classifier
A simple 1-dimensional Gaussian Naïve Bayes Classifier.
naive-bayes-classifier bayes-rule gaussian-naive-bayes python machine-learning qda quadratic-discriminant-analysis
Language:Jupyter Notebook 1
amira921 / Deployment-Startup-Acquisition-Status-Prediction
ML project for the internship at Technocolabs company
deployment django eda heroku jupyter-notebook knn-classification preprocessing quadratic-discriminant-analysis random-forest-classifier
Language:Jupyter Notebook 1
Andrewwango / femda
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
machine-learning robust-statistics robust-estimation em-algorithm linear-discriminant-analysis fashion-mnist 20newsgroup classification discriminant-analysis quadratic-discriminant-analysis
Language:Python 1
AScick / Machine_Learning_Project
Bunch of exercises computed during the Machine Learning for Finance course.
bootstrap-confidence-intervals knn linear-discriminant-analysis logistic-regression non-parametric-bootstrap-method ols-regression quadratic-discriminant-analysis r rmarkdown
Language:R 1
bghojogh / Linear-Quadratic-Discriminant-Analysis
The code for Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)
linear-discriminant-analysis quadratic-discriminant-analysis
Language:Python 1
kellyav / machinelearningfinal
Final project progress will be posted here.
machine-learning-algorithm machine-learning k-means-clustering elbow-method chi-square-test classification classification-trees box-cox breast-cancer-wisconsin linear-discriminant-analysis quadratic-discriminant-analysis
Language:HTML 1
lajobu / Machine_learning_R_cars
Classification methods applied to an imbalanced big dataset
machine-learning classification r rmarkdown knn-classification lvq linear-discriminant-analysis quadratic-discriminant-analysis multinomial-model cars
Language:HTML 1
MAHMOUD2ABDALLAH / family-members-segmentation
Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...
bernoulli-naive-bayes classification data-cleaning-and-preprocessing decision-boundaries decision-boundary-visualizations decision-tree-classifier gaussiannb gradient-boosting-classifier knearest-neighbor-classifier label-encoder linear-discriminant-classifier machine-learning-algorithms python quadratic-discriminant-analysis random-forest-classifier segmentation-models simple-imputer sklearn supervised-learning votting-classifier
Language:Python 1
mmarouen / linear-Models-Classification
R packages Implementing linear models for classification
lda classification quadratic-discriminant-analysis linear-discriminant-analysis
Language:R 1
monfared01 / machine-learning-methods-apply-on-wisc-dataset
Machine Learning Methods apply on Breast Cancer Wisconsin (Original) Data Set.
decision-tree-classifier linear-discriminant-analysis quadratic-discriminant-analysis random-forest-classifier gaussian-naive-bayes-classifier wbcd breast-cancer-wisconsin jupyter-notebook scikit-learn machine-learning
Language:Jupyter Notebook 1
mosama1994 / Diabetes-Detection-using-Machine-Learning
Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.
correlation knn-classification linear-discriminant-analysis-lda logistic-regression adaboostclassifier decision-tree-classifier naive-bayes-classification quadratic-discriminant-analysis random-forest-classifier svm-classifier
Language:Python 1
ozturkfemre / classification
R | Classification Project
bagging-classifier classification classification-tree descriptive-statistics heart-disease-classification linear-discriminant-analysis machine-learning quadratic-discriminant-analysis random-forest random-forest-classifier roc-auc roc-curve rstats rstudio statistics support-vector-machines
Language:Jupyter Notebook 1
VivianeFernandes6 / Diabetes_MachineLearning
classification-algorithm holdout knn-classification lbp matplotlib mlp numpy opencv pandas quadratic-discriminant-analysis sklearn svm-model
Language:Jupyter Notebook 1
aoluwolerotimi / Chocolate-Bar-QDA
Exploratory project getting familiar with quadratic discriminant analysis as a classification algorithm
classification-algorithm quadratic-discriminant-analysis supervised-learning
Language:R 0
DumindUdara / Breast-Cancer-Detection
This project focuses on predicting breast cancer diagnosis using machine learning algorithms. It utilizes the Breast Cancer Wisconsin dataset to evaluate the effectiveness of various classification models
k-means-clustering k-nearest-neighbours linear-discriminant-analysis logistic-regression machine-learning python quadratic-discriminant-analysis random-forest supervised-learning unsupervised-learning
Language:Jupyter Notebook 0
PrusWielki / adv-machine-learning-proj-1
LDA, QDA and NB in Python from scratch
data-science linear-discriminant-analysis machine-learning naive-bayes quadratic-discriminant-analysis
Language:Jupyter Notebook 0
Samarth-SP / SocialMediaExperiment
A short project to test my learning on LDA and QDA... I conducted EDA on a kaggle dataset on social media usage and used the data to predict emotional state from usage statistics
linear-discriminant-analysis quadratic-discriminant-analysis scikit-learn
Language:Jupyter Notebook 0
aesthetic176 / Hate_Speech_Detection_on_Twitter_using_LDA_and_QDA
Machine Learning Project
conference-paper lda python3 quadratic-discriminant-analysis twitter-sentiment-analysis
Language:Python
mohamedhassan279 / Face-Recognition
Face Recognition Using several dimensionality reduction techniques along with KNN as a classification algorithm
dimensionality-reduction face-recognition knn-classification linear-discriminant-analysis machine-learning principal-component-analysis quadratic-discriminant-analysis
Language:Jupyter Notebook

quadratic-discriminant-analysis

kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

snatch59 / cnn-svm-classifier

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

kbasu2016 / Autism-Detection-in-Adults

dehaoterryzhang / Iris_Classification

StarlangSoftware / Classification-Py

timothygmitchell / Empirical_Study_of_Ensemble_Learning_Methods

tugrulhkarabulut / Gaussian-Discriminant-Analysis

bagheri365 / ML-Models-for-Classification

StarlangSoftware / Classification

StarlangSoftware / Classification-CPP

Chaoukia / Probabilistic-Graphical-Models

Escapist-007 / ML_Projects

clissa / Statistical_Learning

HCYENDLURI / Comparing-6-Classifiers-for-Sepsis-Dataset

ocramz / cmbnt-test

rameshgkwd05 / Accelerometer-Biometric

agn-7 / gaussian_naive_bayes_classifier

amira921 / Deployment-Startup-Acquisition-Status-Prediction

Andrewwango / femda

AScick / Machine_Learning_Project

bghojogh / Linear-Quadratic-Discriminant-Analysis

kellyav / machinelearningfinal

lajobu / Machine_learning_R_cars

MAHMOUD2ABDALLAH / family-members-segmentation

mmarouen / linear-Models-Classification

monfared01 / machine-learning-methods-apply-on-wisc-dataset

mosama1994 / Diabetes-Detection-using-Machine-Learning

ozturkfemre / classification

VivianeFernandes6 / Diabetes_MachineLearning

aoluwolerotimi / Chocolate-Bar-QDA

DumindUdara / Breast-Cancer-Detection

PrusWielki / adv-machine-learning-proj-1

Samarth-SP / SocialMediaExperiment

aesthetic176 / Hate_Speech_Detection_on_Twitter_using_LDA_and_QDA

mohamedhassan279 / Face-Recognition