GitHub topics: gaussian-classifier

Repositories

hidiryuzuguzel/Machine-Learning-Examples

Language: Jupyter Notebook - Size: 917 KB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 3

Bbowen100/Intro-ML-Algos

Language: Matlab - Size: 787 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

jayshah19949596/Machine-Learning-Models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Language: Matlab - Size: 4.88 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 291 - Forks: 143

Anatr1/classical-ML-toolkit

Python tools for classical machine learning, for when a deep neural net is just overkill

Language: Python - Size: 52.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

GiuDF1102/Language-Indentification-2023

Italian Language Detection from Utterance Embeddings: A Comparative Study of SVM, Gaussian Models, Logistic Regression, and GMM. Made for the Machine Learning and Pattern Recognition course at Politecnico di Torino.

Language: Python - Size: 6.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 2

badhonparvej481/Naive-Bayes-Classifier_ML

Language: Jupyter Notebook - Size: 960 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

jiwidi/gmm-classifier

Python implementation for a Gaussian mixture model classifier!

Language: Python - Size: 313 KB - Last synced at: 5 days ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 0

francescocartelli/machine-learning-put-together

Python implementations of standard ML algorithms for classification, models evaluation and preprocessing.

Language: Python - Size: 63 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

arnejad/multiclass-classification

Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB

Language: MATLAB - Size: 67.4 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 0

salmuz/synthetic_noise_igda

Synthetic datasets generation for IGDA experiments

Language: R - Size: 101 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

abdulrahman-nuzha/HeartDisease

Machine Learning model to predict heart disease using various patient parameters.

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

SaminYeasar/Sp-Cup-2016

The Electric Network Frequency (ENF) is the supply frequency of power distribution networks, which can be captured by multimedia signals recorded near electrical activities. It normally fluctuates slightly over time from its nominal value of 50 Hz/60 Hz. The ENF remain consistent across the entire power grid. This has led to the emergence of multiple forensic application like estimating the recording location and validating the time of recording. Recently an ENF based Machine Learning system was proposed which infers the region of recording from the power grids ENF signal extracted from the recorded multimedia signal, with the help of relevant features. In this work, we report some features novel to this application which serve as identifying characteristics for detecting the region of origin of the multimedia recording. In addition to the ENF variation itself, the utilization of the ENF harmonics pattern extracted from the media signals as novel features enables a more accurate identification of the region of origin. These characteristics were used in a multiclass machine learning implementation to identify the grid of the recorded signal.

Language: MATLAB - Size: 1.8 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 2