Machine learning stuff in Julia (supervised: perceptron, SVM, neural network; unsupervised: clustering,...)
Stuff while learning Machine learning at MITX 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
Theoretical notes are at the companion repository https://github.com/sylvaticus/MITx_6.86x, while this repository contains the Julia implementation.
This stuff most likely has value ony didactically, as the approaches are the "vanilla" ones, i.e. the simplest possible ones.
Run the code by yourself (folder "notebooks") in myBinder, a temporary public online computational environment:
(Note: every first time after a commit is made in this repository, it takes a looong time as the temporary environment need to be created.)
By the way, if you are looking for an introductory book on Julia, have a look on my "Julia Quick Syntax Reference"(Apress,2019).