Andrew Ng's Machine Learning Class Projects Description: Ex1 - Gradient Descent, Newton's Method, Linear Regression Ex2 - Sigmoid Kernels Ex3 - Logistic Regression Implementation Ex4 - Neural Networks implementation for Digit Recognition Ex5 - Regularized Linear Regression, Polynomial Regression Ex6 - SVM (Kernel implementation) for Spam Classification Ex8 - Recommender System (Collaborative Filtering) and Anomaly Detection

Andrew Ng Machine Learning Week 3 Assignment: Logistic Regression

Programming Assignment: Logistic Regression

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Ex2 for Machine learning course - Basic Model Selection

Coursera Machine Learning Homework Programming Language: Octave Professor: Andrew Ng

Machine Learning Logistic Regression ex2 University of Stanford Coursera Andrew NG

machine learning ex2

machine learning ex2

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Coursera Machine Learning (by Stanford University) Programming Assignment: Logistic Regression Solutions

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Complete coded version of week 3 assignment of Andrew Ng's machine learning code.

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

machine learning ex2

MACHINE LEARNING EX2

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Logistic Regression

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吴恩达机器学习练习题2完成

BIU Machine Learning ex2

With OCTAVE - details in ex2.pdf in the repo.

Exercises from Coursera Machine Learning

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Machine learning by Andrew NG, Stanford University on Coursera.