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16 search results found
Coursera Ml Py
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1,032
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Sgdlibrary
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181
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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
Gdlibrary
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27
Matlab library for gradient descent algorithms: Version 1.0.1
Sparsegdlibrary
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21
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Seismic Features For Machine Learning
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11
This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.
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.
Machine_learning
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7
Machine Learning - Coursera.org
Machine Learning
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7
Andrew Ng's Machine Learning Course
Andrew Ng Ml Course Assignments
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7
Assignment solutions for Andrew Ng's Machine Learning Course
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.
Traffic Light Detection
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6
Real time traffic light detection using Machine Learning
Oba
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5
A Second-Order Method for Convex L1-Regularized Optimization with Active-Set Prediction
Ipsvrg
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5
A light MATLAB package for acceleration of SVRG and Katyusha X by inexact preconditioning.
Courseramachinelearning
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5
Stanford's Machine Learning Exercises
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