Plots.jl
StatsWithJuliaBook | Plots.jl | |
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6 | 4 | |
1,059 | 1,792 | |
- | 0.1% | |
0.0 | 8.1 | |
about 1 year ago | 6 days ago | |
Julia | Julia | |
MIT License | GNU General Public License v3.0 or later |
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StatsWithJuliaBook
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An Introduction to Statistical Learning with Applications in Python
I actually like this book by Yoni Nazarathy
https://statisticswithjulia.org/
They have a book on Mathematics of DL too which is a natural progression from the concepts covered here.
(I am slightly biased towards this since I've known the author by online interactions)
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Recommended Self-Study Statistics Book
Today I just started read Stats with Julia (https://statisticswithjulia.org/) and I have to say as a CS and math person, I really love this book. Of course one of the reasons may be that I want to learn Julia.
- Best resources for an R programmer to learn Julia?
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Teaching 3 courses with Julia at Uni and need help
I like what little I have read so far in Statistics with Julia. There is also the recent MIT course Intro to Computational Thinking that uses Pluto and includes statistics and probability at a moderately advanced level.
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Any Books Suggestions for Machine Learning With Julia?
A single Google search sufficed: https://statisticswithjulia.org/
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Tutorial on beginner inferential statistics?
Here's the corresponding github link to the draft version of the book: https://github.com/h-Klok/StatsWithJuliaBook
Plots.jl
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Animating plots using only PlotlyJS ?
Have a look at the source: https://github.com/JuliaPlots/Plots.jl/blob/master/src/animation.jl It shouldn't be too hard to write something specifically for PlotlyJS yourself.
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I really want to plot specific level(s) for my contour lines, but the contour function of Plots.jl doesn't accept a vector (or tuple) input of integers even when the documentation says that it can. Please Help.
Ahh, ok. It looks like it's a known issue with the PlotlyJS backend to Plots: https://github.com/JuliaPlots/Plots.jl/issues/3356. Something to do with Plotly being unable to render arbitrary contour levels it seems.
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Should you learn Julia or Python for Machine Learning?
We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.
What are some alternatives?
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
matplotlib - matplotlib: plotting with Python
BlueStyle - A Julia style guide that lives in a blue world
Gnuplot.jl - Julia interface to gnuplot
JLD2.jl - HDF5-compatible file format in pure Julia
Luxor.jl - Simple drawings using vector graphics; Cairo "for tourists!"
BenchmarkTools.jl - A benchmarking framework for the Julia language
Makie.jl - Interactive data visualizations and plotting in Julia
DataFrames.jl - In-memory tabular data in Julia
islr-for-gis - A repository for the content that is used and generated while completing independent study on using statistical learning methods in GIS.
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor