quadratic-discriminant-analysis
There are 59 repositories 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
snatch59/cnn-svm-classifier
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
rahul-38-26-0111-0003/Network-based-Intrusion-Detection-Systems
Final Year project based upon Network Intrusion Detection System
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.
dehaoterryzhang/Iris_Classification
Iris classification with Python Scikit-learn :blossom:
StarlangSoftware/Classification-Py
Machine learning library for classification tasks
timothygmitchell/Empirical_Study_of_Ensemble_Learning_Methods
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
tugrulhkarabulut/Gaussian-Discriminant-Analysis
Gaussian Discriminant Analysis introduction and Python implementation from scratch
bagheri365/ML-Models-for-Classification
Tour of Machine Learning Algorithms for Binary/Multiclass Classification
StarlangSoftware/Classification
Machine learning library for classification tasks
Chaoukia/Probabilistic-Graphical-Models
Probabilistic graphical models home works (MVA - ENS Cachan)
StarlangSoftware/Classification-CPP
Machine learning library for classification tasks
clissa/Statistical_Learning
Overview of statistical learning methods for classification
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/)
HCYENDLURI/Comparing-6-Classifiers-for-Sepsis-Dataset
To Detect Sepsis Disease using six Classifiers on clinical data
rameshgkwd05/Accelerometer-Biometric
Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)
agn-7/gaussian_naive_bayes_classifier
A simple 1-dimensional Gaussian Naïve Bayes Classifier.
amira921/Deployment-Startup-Acquisition-Status-Prediction
ML project for the internship at Technocolabs company
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.
AScick/Machine_Learning_Project
Bunch of exercises computed during the Machine Learning for Finance course.
bghojogh/Linear-Quadratic-Discriminant-Analysis
The code for Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)
donishadsmith/vswift
R package for machine learning classification model evaluation.
kellyav/machinelearningfinal
Final project progress will be posted here.
lajobu/Machine_learning_R_cars
Classification methods applied to an imbalanced big dataset
MAHMOUD2ABDALLAH/family-determination
Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...
mmarouen/linear-Models-Classification
R packages Implementing linear models for classification
monfared01/machine-learning-methods-apply-on-wisc-dataset
Machine Learning Methods apply on Breast Cancer Wisconsin (Original) Data Set.
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.
ozturkfemre/classification
R | Classification Project
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
PrusWielki/adv-machine-learning-proj-1
LDA, QDA and NB in Python from scratch
aesthetic176/Hate_Speech_Detection_on_Twitter_using_LDA_and_QDA
Machine Learning Project
mohamedhassan279/Face-Recognition
Face Recognition Using several dimensionality reduction techniques along with KNN as a classification algorithm
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