There are 1 repository under quadratic-discriminant-analysis topic.
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
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Final Year project based upon Network Intrusion Detection System
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.
Iris classification with Python Scikit-learn :blossom:
Machine learning library for classification tasks
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
Gaussian Discriminant Analysis introduction and Python implementation from scratch
Tour of Machine Learning Algorithms for Binary/Multiclass Classification
Probabilistic graphical models home works (MVA - ENS Cachan)
Machine learning library for classification tasks
Overview of statistical learning methods for classification
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/)
To Detect Sepsis Disease using six Classifiers on clinical data
Machine learning library for classification tasks
Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)
A simple 1-dimensional Gaussian NaĂŻve Bayes Classifier.
ML project for the internship at Technocolabs company
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.
Bunch of exercises computed during the Machine Learning for Finance course.
The code for Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)
Tools created for machine learning classification model evaluation
Final project progress will be posted here.
Classification methods applied to an imbalanced big dataset
R packages Implementing linear models for classification
Machine Learning Methods apply on Breast Cancer Wisconsin (Original) Data Set.
Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.
Exploratory project getting familiar with quadratic discriminant analysis as a classification algorithm
Analysis of student performances of the Open University Learning Analytics dataset by using logistic regression and various classifiers.
This project uses a machine learning QDA model to predict the carrier of commercial airline flights.
Machine Learning Project
Face Recognition Using several dimensionality reduction techniques along with KNN as a classification algorithm
LDA, QDA and NB in Python from scratch
This repository contains the practical assignments for the Machine Learning course taught by Dr.Mohsen Ansari in Spring semester of 2023 at Sharif University of Technology