RStudio Server
ml-coursera-python-assignments
RStudio Server | ml-coursera-python-assignments | |
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54 | 43 | |
4,561 | 5,382 | |
0.8% | - | |
9.9 | 0.0 | |
3 days ago | 11 months ago | |
Java | Jupyter Notebook | |
GNU General Public License v3.0 or later | - |
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RStudio Server
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RStudio: Integrated development environment (IDE) for R
This particular issue should be resolved in the latest daily builds of RStudio. The underlying issue here was a conda patch included in the conda-provided builds of R, which interfered with the way RStudio attempted to load R. Please see https://github.com/rstudio/rstudio/issues/13184#issuecomment... for more details.
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Random error to subset dataframe... no clue why
It is a bug that was introduced in RStudio 2023.06.0 Build 421. See Error with 'cacheKey' in .rs.WorkingDataEnv and .rs.CachedDataEnv. The current advice is to ignore or add options(rstudio.help.showDataPreview = FALSE) to your ~/.Rprofile ... so RStudio can ignore it for you.
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Version 5.4.0
A quick google for details from other app: https://github.com/rstudio/rstudio/wiki/Writing-Good-Feature-Requests :)
- R markdown knit to html window size
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FPS drops while using Anki on Win11
solution found here: https://github.com/rstudio/rstudio/issues/9367
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RStudio is painfully slow when connected to my company's VPN
u/acemachine123, if you’re using Rmarkdown or Rprojects over a network drive, connected by VPN, it’s going to be slow like u/ThatDeadDude said. Best thing you can do is thumbs up the issue here https://github.com/rstudio/rstudio/issues/10417 and use an Rscript file instead.
- How do I easily create a Flatpak from 2 sources?
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Fonts: cannot select installed font
Hey! I can not select the Noto Sans Mono font in RStudio's Editor Font options, despite it being installed in my system, as you can see in the picture. RStudio only offers me "Noto Color Emoji" instead. When looking for this online, I only found this: https://github.com/rstudio/rstudio/issues/9512, but I am not sure if this really a related issue. Or does RStudio not support TrueType fonts? I can't find anything about this after a quick search
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Updated RStudio to the latest version and I have an annoying problem with the file explorer
Next (2023.03) changelog - https://github.com/rstudio/rstudio/blob/main/version/news/NEWS-2023.03.0-cherry-blossom.md .
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After reinstalling RStudio, the dark mode is not working properly anymore. Do you have any tips on how I can fix it?
for example in this post they have dark menus aswell
ml-coursera-python-assignments
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[D] Backpropagation is not just the chain-rule, then what is it?
check this out in particular. It's the week 4 homework from Ng's course, redone by someone to be in Python instead of Octave. It's got a built in grader, so you can grab the jupyter notebook, run it locally and it'll tell you when you've got the answer right. I'd recommend taking a crack at it, then when you figure out how to code it, take a look at that micrograd library and see how you could achieve something similar using an object oriented approach.
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How does Andrew Ng's courses compare to OMSCS ?
Python version of assignments which you can submit: https://github.com/dibgerge/ml-coursera-python-assignments
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Is the new Andrew Ng specialisation course worth it if I finished the original one with Python exercises?
Basically title. I'm halfway thru the original Stanford University Machine Learning course by Andrew Ng, but instead of using the Octave/Matlab exercises, I went with a Python repo. Now, I know the new specialisation course came out and is updated with newer content, more relevant to the state of the industry today. I have the following choices:
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Is the Andrew Ng course worth having to learn Octave?
A language is only worth learning if it is useful to know. But the only reason 99% of people would learn Octave is just to take that course lol. Besides, (a) the original course can be completed in Python using this repo, and now his new course is actually offered in Python.
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What do you think of Andrew Ng's new Machine Learning Specialization that launched last week on Coursera?
FWIW there is a repo you can use to complete the first one in Python. I used it and can vouch that it works perfectly as advertised.
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Andrew Ng updates his Machine Learning course
You can do them in python and submit them! https://github.com/dibgerge/ml-coursera-python-assignments
- Andrew Ng’s Machine Learning course is relaunching in Python in June 2022
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[NEWS] Not sure if this has been posted before, but ML course from Coursera is going to be updated in a new version in June (it will include python)
Andrew Ng ML-Coursera Assignments in Python
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New to ML
Last piece... Octave is super easy to get into. I don't personally think it's worth doing Python versions of the homework, but if you really can't stand screwing around with a new language, this repo has alternate versions of the homework to follow that will use Python instead. You can do either these or the original versions, so don't let the Octave scare you. You don't have to use it if you really don't want to, but... like I said, it's not a big deal either way, I just did it in Octave.
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Has anyone here done Andrew Ng's ML Course in Python and could help me out with the first assignment?
Specifically, I'm referring to this github repository: https://github.com/dibgerge/ml-coursera-python-assignments/blob/master/Exercise1/exercise1.ipynb. I'm currently doing Assignment 1.
What are some alternatives?
JupyterLab - JupyterLab computational environment.
coursera-machine-learning-solutions-python - A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera
Code-Server - VS Code in the browser
deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.
vscode-R - R Extension for Visual Studio Code
Removeddit - View deleted stuff from reddit
Eclipse Che - Kubernetes based Cloud Development Environments for Enterprise Teams
py - Repository to store sample python programs for python learning
Hakatime - Wakatime server implementation & analytics dashboard
ml-coursera-python-assignments-master - Python Machine Learning Exercises
ICEcoder - Browser code editor awesomeness
Machine-Learning-Andrew-Ng - Coursera Machine Learning by Stanford University : Andrew Ng: Assignment Solutions