I am a Google Summer of Code student developer at TensorFlow this year. I and Victor will be developing a machine learning library in swift. In this, we are implementing traditional machine learning algorithms such as Linear Regression, Logistic Regression, SVM, PCA, KMeans, K-Neighbors, Naive Bayes, Random Forest, Decision Tree, etc.
I have begun working on it and implemented a few algorithms as of now, and I will be implementing more as per my GSoC proposal.
Here is a link to GitHub Repository: https://github.com/param087/swiftML
I am very excited to work on this project and happy to hear your feedback and suggestions.