julia_titanic_model
JLD2.jl
julia_titanic_model | JLD2.jl | |
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1 | 2 | |
3 | 527 | |
- | 2.1% | |
0.0 | 8.1 | |
about 1 year ago | 9 days ago | |
Jupyter Notebook | Julia | |
MIT License | GNU General Public License v3.0 or later |
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julia_titanic_model
JLD2.jl
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Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
First, you need to save the model from the notebook to a file. For this you can use JLD2.jl module. This module used to serialize Julia object to HDF5-compatible format (which is well known by Python data scientists) and save it to a file.
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Best format to save matrices to a text file? (R interop)
I didn't realize this was the Julia subreddit. HDF5 or multiple CSV files would be my suggestion. As a side note, check out the JLD2 package. It's a HDF5 compatible format where the package is written in pure Julia.
What are some alternatives?
PlotDocs.jl - Documentation for Plots.jl
julia - The Julia Programming Language
DataScience - Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Plots.jl - Powerful convenience for Julia visualizations and data analysis
NumPy - The fundamental package for scientific computing with Python.
Rocket.jl - Functional reactive programming extensions library for Julia
cheatsheets - Official Matplotlib cheat sheets
StatsWithJuliaBook
HTTP.jl - HTTP for Julia