Binary Classification applying dimensionality reduction and hyperparameter tunning, working on MLJ framework in Julia. The Data comes from a Sonar System

One package to train them all

Julia learning resources collected from various Julia Computing repos!

Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.

Connecting MLJ and MLFlow

Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.

(now superseded by MLJLinearModels)

MLJ.jl interface for JLBoost.jl

A Least Squares Support Vector Machine implementation in pure Julia

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

MLJ.jl interface for GLM.jl models

MLJ Interface for ScikitLearn.jl

Repository implementing MLJ interface for MultivariateStats models.

An API for dispatching on the "scientific" type of data instead of the machine type

An Introduction to Artificial Intelligence with Julia

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm

Julia Toolkit with fairness metrics and bias mitigation algorithms

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)