README.md

Coursera-Machine-Learning-Ng-Coding-exercise

Coursera《机器学习》课程（吴恩达）编程作业

目录

• Week2 Exercise1

  1. warmUpExercise.m
  2. plotData.m
  3. computeCost.m
  4. gradientDescent.m
  5. gradientDescentMulti.m
  6. computeCostMulti.m
  7. featureNormalize.m
  8. normalEqn.m

• Week3 Exercise2

  1. plotData.m
  2. sigmoid.m
  3. costFunction.m
  4. predict.m
  5. costFunctionReg.m

• Week4 Exercise3

  1. lrCostFunction.m
  2. oneVsAll.m
  3. predictOneVsAll.m
  4. predict.m

• Week5 Exercise4

  1. sigmoidGradient.m
  2. randInitializeWeights.m
  3. nnCostFunction.m

• Week6 Exercise5

  1. linearRegCostFunction.m
  2. learningCurve.m
  3. polyFeatures.m
  4. validationCurve.m

• Week7 Exercise6

  1. gaussianKernel.m
  2. dataset3Params.m
  3. processEmail.m
  4. emailFeatures.m

• Week8 Exercise7

  1. pca.m
  2. projectData.m
  3. recoverData.m
  4. findClosestCentroids.m
  5. computeCentroids.m
  6. kMeansInitCentroids.m

• Week9 Exercise8

  1. estimateGaussian.m
  2. selectThreshold.m
  3. cofiCostFunc.m