Machine_Learning_Coursera

The programming assignments from Machine Learning Course by Andrew Ng Stanford University

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
README.md		README.md
checkCostFunction.m		checkCostFunction.m
checkNNGradients.m		checkNNGradients.m
cofiCostFunc.m		cofiCostFunc.m
computeCost.m		computeCost.m
computeCostMulti.m		computeCostMulti.m
computeNumericalGradient.m		computeNumericalGradient.m
costFunction.m		costFunction.m
costFunctionReg.m		costFunctionReg.m
dataset3Params.m		dataset3Params.m
debugInitializeWeights.m		debugInitializeWeights.m
displayData.m		displayData.m
emailFeatures.m		emailFeatures.m
emailSample1.txt		emailSample1.txt
emailSample2.txt		emailSample2.txt
estimateGaussian.m		estimateGaussian.m
ex1.m		ex1.m
ex1.pdf		ex1.pdf
ex1_multi.m		ex1_multi.m
ex1data1.txt		ex1data1.txt
ex1data2.txt		ex1data2.txt
ex2.m		ex2.m
ex2_reg.m		ex2_reg.m
ex2data1.txt		ex2data1.txt
ex2data2.txt		ex2data2.txt
ex3.m		ex3.m
ex3.pdf		ex3.pdf
ex3_nn.m		ex3_nn.m
ex3data1.mat		ex3data1.mat
ex3weights.mat		ex3weights.mat
ex4.m		ex4.m
ex4.pdf		ex4.pdf
ex4data1.mat		ex4data1.mat
ex4weights.mat		ex4weights.mat
ex5.m		ex5.m
ex5.pdf		ex5.pdf
ex5data1.mat		ex5data1.mat
ex6.m		ex6.m
ex6.pdf		ex6.pdf
ex6_spam.m		ex6_spam.m
ex6data1.mat		ex6data1.mat
ex6data2.mat		ex6data2.mat
ex6data3.mat		ex6data3.mat
ex8.m		ex8.m
ex8.pdf		ex8.pdf
ex8_cofi.m		ex8_cofi.m
ex8_movieParams.mat		ex8_movieParams.mat
ex8_movies.mat		ex8_movies.mat
ex8data1.mat		ex8data1.mat
ex8data2.mat		ex8data2.mat
featureNormalize.m		featureNormalize.m
fmincg.m		fmincg.m
gaussianKernel.m		gaussianKernel.m
getVocabList.m		getVocabList.m
gradientDescent.m		gradientDescent.m
gradientDescentMulti.m		gradientDescentMulti.m
learningCurve.m		learningCurve.m
linearKernel.m		linearKernel.m
linearRegCostFunction.m		linearRegCostFunction.m
loadMovieList.m		loadMovieList.m
lrCostFunction.m		lrCostFunction.m
mapFeature.m		mapFeature.m
movie_ids.txt		movie_ids.txt
multivariateGaussian.m		multivariateGaussian.m
nnCostFunction.m		nnCostFunction.m
normalEqn.m		normalEqn.m
normalizeRatings.m		normalizeRatings.m
octave-workspace		octave-workspace
oneVsAll.m		oneVsAll.m
plotData.m		plotData.m
plotDecisionBoundary.m		plotDecisionBoundary.m
plotFit.m		plotFit.m
polyFeatures.m		polyFeatures.m
porterStemmer.m		porterStemmer.m
predict.m		predict.m
predictOneVsAll.m		predictOneVsAll.m
processEmail.m		processEmail.m
randInitializeWeights.m		randInitializeWeights.m
readFile.m		readFile.m
selectThreshold.m		selectThreshold.m
sigmoid.m		sigmoid.m
sigmoidGradient.m		sigmoidGradient.m
spamSample1.txt		spamSample1.txt
spamSample2.txt		spamSample2.txt
spamTest.mat		spamTest.mat
spamTrain.mat		spamTrain.mat
submit.m		submit.m
submitWeb.m		submitWeb.m
svmPredict.m		svmPredict.m
svmTrain.m		svmTrain.m
token.mat		token.mat
trainLinearReg.m		trainLinearReg.m
validationCurve.m		validationCurve.m
visualizeBoundary.m		visualizeBoundary.m
visualizeBoundaryLinear.m		visualizeBoundaryLinear.m
visualizeFit.m		visualizeFit.m
vocab.txt		vocab.txt
warmUpExercise.m		warmUpExercise.m

Yashodhanvivek/Machine_Learning_Coursera

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