JLD2.jl
PlotDocs.jl
JLD2.jl | PlotDocs.jl | |
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2 | 3 | |
525 | 92 | |
1.7% | - | |
8.1 | 2.4 | |
10 days ago | 3 months ago | |
Julia | ||
GNU General Public License v3.0 or later | MIT License |
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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.
PlotDocs.jl
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Julia 1.9 Highlights
https://docs.juliaplots.org/stable/
3. See https://juliaacademy.com
Another alternative environment are Pluto notebooks. It's reactive like a spreadsheet, but easy to use in your browser.
https://featured.plutojl.org/
I have several users without much coding experience using Pluto notebooks just to generate plots from CSV files. They are finding the combination of a web based interface, reactive UI, and fast execution easier to use than a MATLAB Live script.
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Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
Using Plots.jl, you can create a lot of different graphs to analyze your data, similar to Matplotlib or Seaborn in Python. To use it, you have to install the Plots package to your notebook and import it:
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I have custom color palettes and I want to make a nice table like this (from Plots.jl) any simple idea on how to do it?
Did you get that from this page? I'm fairly sure those are just Markdown tables including images created with cgrad or palette as described further up the page. You can check the source to confirm if you want.
What are some alternatives?
julia - The Julia Programming Language
julia_titanic_model - Titanic machine learning model and web service
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.
DataScience - Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Plots.jl - Powerful convenience for Julia visualizations and data analysis
parca-demo - A collection of languages and frameworks profiled by Parca and Parca agent
Rocket.jl - Functional reactive programming extensions library for Julia
CondaPkg.jl - Add Conda dependencies to your Julia project
StatsWithJuliaBook
DataFrames.jl - In-memory tabular data in Julia