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ScikitLearn.jl reviews and mentions
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Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
For machine learning, we will use SciKitLearn.jl library, which replicates SciKit-Learn library for Python. It provides an interface for commonly used machine learning models like Logistic Regression, Decission Tree or Random Forest. SciKitLearn.jl is not a single package but a rich ecosystem with many packages, and you need to select which of them to install and import. You can find a list of supported models here. Some of them are built-in Julia models, others are imported from Python. Also, the SciKitLearn.jl has a lot of tools to tune the learning process and evaluate results.
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What is the Julia equivalent of Scikit-Learn?
MLJ.jl is a good Julia ML framework. There's also a Scikitlearn.jl but its more of a wrapper around the sklearn I believe
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Fit_transform not defined
That repo appears to be deprecated. Since you called using ScikitLearn, I imagine you should check this repo instead: https://github.com/cstjean/ScikitLearn.jl
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sklearn equivalent for Julia?
Imho, Julia is more diverse in the sense that there is not a single popular ML library. Maybe the Julian equivalent for scikit-learn is MLJ.jl. There is also ScikitLearn.jl, which defines the usual interface of scikit-learn models, and specific algorithms then implement this interface.
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cstjean/ScikitLearn.jl is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of ScikitLearn.jl is Julia.
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