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29 search results found
Machine Learning Octave
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581
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Machinelearning
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222
Exercises for the Stanford/Coursera Machine Learning Class
Sgdlibrary
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181
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Ml Course
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168
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Machinelearning_ng
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163
吴恩达机器学习coursera课程,学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng
Machine Learning Andrew Ng
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150
机器学习-Coursera-吴恩达- python+Matlab代码实现
Machine Learning Models
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81
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
Classifiertoolbox
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75
A MATLAB toolbox for classifier: Version 1.0.7
Machine Learning Exercise
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54
Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.
Unfold
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48
A matlab EEG toolbox to perform overlap correction and non-linear & linear regression.
Machine Learning Matlab
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46
Matlab implementation of Machine Learning algorithms
Gdlibrary
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27
Matlab library for gradient descent algorithms: Version 1.0.1
Dynamic Movement Primitives And Imitation Learning Robotics
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25
Dynamic movement primitives (DMPs) are a method of trajectory control/planning from Stefan Schaal’s lab. Complex movements have long been thought to be composed of sets of primitive action ‘building blocks’ executed in sequence and \ or in parallel, and DMPs are a proposed mathematical formalization of these primitives. The difference between DMPs and previously proposed building blocks is that each DMP is a nonlinear dynamical system. The basic idea is that you take a dynamical system with wel
Machine Learning
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24
Some notes on machine learning algorithms, mostly in Matlab format.
Machine_learning_from_scratch_matlab_python
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21
Vectorized Machine Learning in Python 🐍 From Scratch
Ml Coursera Stanford
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14
Machine Learning by Stanford University. Programming assignments.
Linear Regression
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10
Programming assignment 1 in Machine Learning course by Andrew Ng on Coursera
Machine Learning Ex1 Linear Regression University Of Stanford Coursera
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9
Machine_learning_coursera
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8
This repository summaries my progress and contains my solutions for the given programming assignments while taking Andrew Ng's course on Coursera about machine learning.
Linear_regression
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8
linear regression algorithm developed in MATLAB
Graddescent
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8
MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression
Stanford Machine Learning Coursework
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8
Topics - Linear Regression, Logistic Regression, Regularization, Neural Networks, System Design, Support Vector Machines, Unsupervised Learning (k-Means algorithm for clustering), Dimensionality Reduction (principal components analysis), Anomaly Detection, Recommender Systems, Large Scale Machine Learning, and Photo Optical Character Recognition.
Machine Learning
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7
These are some projects related to Machine Learning ~
Coursera Ml
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7
💡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
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7
Andrew Ng's Machine Learning Course
Machine_learning
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7
Machine Learning - Coursera.org
Generalized Shuffled Linear Regression
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6
Source code of generalized shuffled linear regression
Coursera Machine Learning And Practice
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5
A study recording of Coursera's Machine Learning by Andrew Ng, but added some practices for reinforceing learning.
Courseramachinelearning
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5
Stanford's Machine Learning Exercises
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