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jayshah19949596 / Machine-Learning-Models

Star 320

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

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm
  • Updated May 15, 2017
  • MATLAB

hiroyuki-kasai / SGDLibrary

Star 212

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

machine-learning big-data optimization matlab linear-regression machine-learning-algorithms sgd classification logistic-regression gradient optimization-algorithms online-learning gradient-descent-algorithm variance-reduction stochastic-gradient-descent newtons-method stochastic-optimization-algorithms quasi-newton softmax-classification svrg
  • Updated May 11, 2023
  • MATLAB

hiroyuki-kasai / SparseGDLibrary

Star 51

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

machine-learning big-data algorithms optimization machine-learning-algorithms solver lasso logistic-regression gradient-descent support-vector-machines admm proximal-algorithms proximal-operators sparse-regression optimization-algorithms matrix-completion elasticnet lasso-regression coordinate-descent sparse-linear-solver
  • Updated Nov 20, 2018
  • MATLAB

Zhenye-Na / coursera-ml

Star 17

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

machine-learning deep-neural-networks deep-learning linear-regression coursera logistic-regression decision-trees support-vector-machines principal-component-analysis andrew-ng kernel-functions anomaly-detection andrew-ng-course andrew-ng-machine-learning
  • Updated Mar 11, 2019
  • MATLAB

ttungl / Machine-Learning

Star 3

Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis, Learning Curves, Error Analysis, Support Vector Machines, K-Means Clustering, PCA, Anomaly Detection System, and Recommender System.

machine-learning ocr neural-network linear-regression octave pca logistic-regression feedforward-neural-network support-vector-machine backpropagation learning-curve anomaly-detection error-analysis
  • Updated Jan 7, 2018
  • MATLAB

AbhiSaphire / MachineLearning-CourseraCourse-StanfordUniversity

Star 9

This repo is for anyone who wants help in understanding and solving Andrew Ng's Coursera Course on Machine Learning Assignments and Quizes. (YEAR 2020)

machine-learning svm machine-learning-algorithms artificial-neural-networks logistic-regression machine-learning-coursera machine-learning-stanford quizes andrew-ng-course assignment-solutions andrew-ng-machine-learning quiz-solutions abhisaphire
  • Updated May 19, 2020
  • MATLAB

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