This is a port to Python from (part of) my Octave code for the Stanford Machine Learning course, with some extra functionality (ability to handle different sizes of neural nets : https://www.coursera.org/course/ml
required packages:
- numpy
- scipy
Still to add:
- A one-versus-all function that makes it possible to use logistic regression on multiple dimensions