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ml projects in octave

Machine learning algorithms built from scratch in Octave

My ML projects in Octave.

Exercise done in AndrewNg ML course - Octave

Cancer Prediction using ML in MATLAB/Octave

Implementation of Machine Learning (Simple Linear Regression) in Octave/MATLAB to predict profits made by a food truck in a city

My solution of the assignments of the famous ML course by Andrew NG. I will try to solve them in Python though the course uses Octave.

Coursera's ML-Class Programming assignments in Octave, and python.

Some simple functions written in Octave as an exercise for ml

there is all model for ML in octave and also in python with basics..

ML Mini-Projects, in the context of Andrew's Ng coursera course. Implemented in Octave.

Contains all the octave code that was written to run the different algorithms that were implemented in the Stanford ML class of December 2011.

Solutions to all the ML assignments in the Coursera. The Course assignments are meant to be solved in Octave/MATLAB, but I will be completing them using python

Programming Exercise 2 in Machine Learning course by Andrew Ng on Coursera. The course info can be found here https://class.coursera.org/ml-004/class/index. In this exercise, a logistic regression model to predict whether a student gets admitted into a university will be created step by step. The details of this assignment is described in ex2.pdf The codes are written by Octave. For further info of Octave please see http://www.gnu.org/software/octave/ This set includes: ex2.m - Octave script that will help step you through the exercise ex2_reg.m - Octave script for the later parts of the exercise ex2data1.txt - Training set for the first half of the exercise ex2data2.txt - Training set for the second half of the exercise mapFeature.m - Function to generate polynomial features plotDecisionBounday.m - Function to plot classifier’s decision boundary plotData.m - Function to plot 2D classification data sigmoid.m - Sigmoid Function costFunction.m - Logistic Regression Cost Function predict.m - Logistic Regression Prediction Function costFunctionReg.m - Regularized Logistic Regression Cost

ML projects in OCTAVE

ML exercises in Octave

ML exercises in Octave

Machine Learning course code by Andrew Ng

implemented linear regression and get to see it work on data.

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Codebase for ML in octave

Coursera's ML course in octave

ML in Octave from Stanford University

Implementations of ML algorithms in Octave

My ML algorithm implementations in Octave

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Assignments and sandbox

Andrew NG ML Coursera Assignments in Octave

Programs for basic ML algorithms in Octave