I've recently started taking the Coursera course on Machine Learning from Stanford University and have to say it's really fun... It's been a while since I had a chance to play with more mathematical algorithms, and this being a nice opportunity to lean Scala and ScalaTest, I've decided to create a GitHub repo exposing my implementations:
I've currently only posted the code for Linear regression with one variable using Gradient Descent, but I intend to commit implementations of all algorithms proposed by the course!
