quadratic-discriminant-analysis

Here are 68 public repositories matching this 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

pipeline random-forest prediction stock logistic-regression predictive-analysis stocks adaboost predictive-modeling algorithmic-trading decision-tree svm-classifier quadratic-discriminant-analysis parameter-tuning guassian-processes gridsearchcv knn-classifier

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snatch59 / cnn-svm-classifier

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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

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Python

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

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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

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kbasu2016 / Autism-Detection-in-Adults

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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

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dehaoterryzhang / Iris_Classification

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Iris classification with Python Scikit-learn 🌼

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

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StarlangSoftware / Classification-Py

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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

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Python

👁 Empirical_Study_of_Ensemble_Learning_Methods

timothygmitchell / Empirical_Study_of_Ensemble_Learning_Methods

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Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

neural-network random-forest naive-bayes-classifier xgboost ensemble-learning splines logistic-regression support-vector-machines gaussian-processes elastic-net quadratic-discriminant-analysis linear-discriminant-analysis knn-classification conditional-inference-trees extratreesclassifier

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R

StarlangSoftware / Classification

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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 multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm support-vector-machine-svm bagging-trees autoencoder-classification classification-algorithms

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Java

tugrulhkarabulut / Gaussian-Discriminant-Analysis

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Gaussian Discriminant Analysis introduction and Python implementation from scratch

python machine-learning supervised-learning classification quadratic-discriminant-analysis linear-discriminant-analysis gaussian-discriminant-analysis

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bagheri365 / ML-Models-for-Classification

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Tour of Machine Learning Algorithms for Binary/Multiclass Classification

random-forest svm naive-bayes logistic-regression multi-layer-perceptron decision-tree binary-classification k-nn quadratic-discriminant-analysis multiclass-classification voting-classifier linear-svm rbf-svm

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Chaoukia / Probabilistic-Graphical-Models

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Probabilistic graphical models home works (MVA - ENS Cachan)

viterbi-algorithm linear-regression logistic-regression lda probabilistic-graphical-models em-algorithm belief-propagation quadratic-discriminant-analysis linear-discriminant-analysis hidden-markov-models mva qda gaussian-mixtures

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StarlangSoftware / Classification-CPP

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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 multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm support-vector-machine-svm bagging-trees autoencoder-classification classification-algorithms

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C++

Escapist-007 / ML_Projects

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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 neural-network tensorflow linear-regression regularization lda ridge-regression backpropagation handwritten-digit-recognition svm-classifier non-linear-regression quadratic-discriminant-analysis classification-algorithm regression-algorithms mnist-handwriting-recognition multiclass-logistic-regression mlp-network qda bias-variance-tradeoff linear-discriminant-analysis-lda

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MachineNeyarning / ClassifiersCommittee

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Comitê de Classificadores | Projeto N1

xgboost perceptron committee multi-layer-perceptron decision-tree-classifier k-nearest-neighbours quadratic-discriminant-analysis classifiers random-forest-classifier xgboost-classifier support-vector-classification lightgbm-classifier adaboost-classifier catboost-classifier classifiers-comparison gaussian-naive-bayes-classifier

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👁 Comparing-6-Classifiers-for-Sepsis-Dataset

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

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To Detect Sepsis Disease using six Classifiers on clinical data

gradient-boosting-classifier quadratic-discriminant-analysis linear-discriminant-analysis sepsis mlp-classifier adaboost-learning accuracy-metrics gaussian-naive-bayes

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👁 Statistical_Learning

clissa / Statistical_Learning

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Overview of statistical learning methods for classification

r linear-regression statistical-learning r-markdown logistic-regression regularization knn quadratic-discriminant-analysis linear-discriminant-analysis generalized-additive-models

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HTML

rameshgkwd05 / Accelerometer-Biometric

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Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)

kaggle support-vector-machine nearest-neighbors lda quadratic-discriminant-analysis accelerometer-data

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Python

ocramz / cmbnt-test

Sponsor

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docker data-science data-mining microservice rest-api statistical-learning data-engineering classification quadratic-discriminant-analysis classification-algorithm fisher-discriminant-analysis

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Haskell

ozturkfemre / classification

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R | Classification Project

machine-learning statistics random-forest rstudio classification rstats support-vector-machines roc-curve descriptive-statistics quadratic-discriminant-analysis linear-discriminant-analysis random-forest-classifier roc-auc classification-tree heart-disease-classification bagging-classifier

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karindaamelia / Student-Dropout-Prediction-System-ML-Powered-Analytics-and-Early-Intervention-Dashboard

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Developed a predictive analytics system to identify student dropout risk using ML models (Random Forest, Logistic Regression, AdaBoost, LDA, QDA) with GridSearchCV tuning. Built interactive dashboards with Streamlit and Tableau for early intervention insights and data-driven decision-making.

python machine-learning random-forest adaboost tableau predictive-analytics quadratic-discriminant-analysis linear-discriminant-analysis gridsearchcv streamlit logstic-regression

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