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

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

机器学习-Coursera-吴恩达- python+Matlab代码实现

Matlab library for gradient descent algorithms: Version 1.0.1

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

Variational Bayes linear and logistic regression

My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.

Non-Linear Dynamic Systems

This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.

Machine Learning Course by Stanford on Coursera (Andrew Ng)

💡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.

Andrew Ng's Machine Learning Course

Stanford's Machine Learning Exercises

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 coursera by Andrew Ng

Machine Learning Exercises from Online Course (Coursera)

Solutions to Coursera Machine Learning course programming assignments

This repository contains projects from Andrew NG's Machine Learning course at Coursera

Real time traffic light detection using Machine Learning

A nlogistic-sigmoid playground for modelling the COVID-19 pandemic growth