My project where I have been practicing implementing machine learning algorithms from scratch, code will be in Python and I'll test out some stuff with Java or C++ too! I just find that I learn machine learning techniques best when I try to implement them from scratch.
Here are just a few of my plans of algorithms that I will be implementing some time in the future:
- Naive Bayes (which I've already begun)
- An exploration of recommendation systems (Pearson correlation)
- Neural Networks.