Binary Classification applying dimensionality reduction and hyperparameter tunning, working on MLJ framework in Julia. The Data comes from a Sonar System
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Updated
May 3, 2022 - Jupyter Notebook
Binary Classification applying dimensionality reduction and hyperparameter tunning, working on MLJ framework in Julia. The Data comes from a Sonar System
Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.
(now superseded by MLJLinearModels)
A Least Squares Support Vector Machine implementation in pure Julia
Julia learning resources collected from various Julia Computing repos!
One package to train them all
Repository implementing MLJ interface for MultivariateStats models.
Connecting MLJ and MLFlow
MLJ.jl interface for GLM.jl models
An Introduction to Artificial Intelligence with Julia
MLJ.jl interface for JLBoost.jl
SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language
Package providing K-nearest neighbor regressors and classifiers, for use with the MLJ machine learning framework.
Julia Toolkit with fairness metrics and bias mitigation algorithms
Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
Home of the MLJ model registry and tools for model queries and mode code loading
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
An API for dispatching on the "scientific" type of data instead of the machine type
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