|Sample training visualization|
Let's see the code:
- The initial values of the parameters you are trying to optimize;
- A function that, when given the training set and a particular theta, computes the logistic regression cost and gradient with respect to theta for the dataset (X,y).
89% , not bad hun?!
All source from this article here.