Work done as part of the Machine Learning course given by Andrew Ng on Coursera.
Ex1 :
- meanSquaredErrorCost
- linearRegressionGradientDescent
- normalizeFeature
- normalEquation
Ex 2 :
- sigmoid ok
- logLossCost ok
- logLossRegularizedCost
- logisticRegressionGradientDescent ok
- predictLogisticRegression ok
- mapPolynomialFeature