ScikitLearn.jl
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/ (by cstjean)
julia_titanic_model
Titanic machine learning model and web service (by AndreyGermanov)
ScikitLearn.jl | julia_titanic_model | |
---|---|---|
4 | 1 | |
540 | 3 | |
- | - | |
3.9 | 0.0 | |
11 months ago | about 1 year ago | |
Julia | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ScikitLearn.jl
Posts with mentions or reviews of ScikitLearn.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-17.
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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.
julia_titanic_model
Posts with mentions or reviews of julia_titanic_model.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-17.
What are some alternatives?
When comparing ScikitLearn.jl and julia_titanic_model you can also consider the following projects:
MLJ.jl - A Julia machine learning framework
PlotDocs.jl - Documentation for Plots.jl
BeautifulAlgorithms.jl - Concise and beautiful algorithms written in Julia
DataScience - Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
DataFrames.jl - In-memory tabular data in Julia
NumPy - The fundamental package for scientific computing with Python.
LIBSVM.jl - LIBSVM bindings for Julia
cheatsheets - Official Matplotlib cheat sheets
julia - The Julia Programming Language
JLD2.jl - HDF5-compatible file format in pure Julia
HTTP.jl - HTTP for Julia
ScikitLearn.jl vs MLJ.jl
julia_titanic_model vs PlotDocs.jl
ScikitLearn.jl vs BeautifulAlgorithms.jl
julia_titanic_model vs DataScience
ScikitLearn.jl vs DataFrames.jl
julia_titanic_model vs NumPy
ScikitLearn.jl vs LIBSVM.jl
julia_titanic_model vs cheatsheets
ScikitLearn.jl vs julia
julia_titanic_model vs JLD2.jl
ScikitLearn.jl vs DataScience
julia_titanic_model vs HTTP.jl