Coincap-Api-Data_Analysis
ML-Workspace
| Coincap-Api-Data_Analysis | ML-Workspace | |
|---|---|---|
| 1 | 7 | |
| 0 | 3,329 | |
| - | 0.6% | |
| 4.0 | 2.7 | |
| 8 months ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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Coincap-Api-Data_Analysis
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Please Critique My Data Analysis
Just finished my first eda on a dataset, Please help rate and let me know what i need to fix up on. thanks. link: https://github.com/khorne182/Coincap-Api-EDA/blob/main/1CryptoAnalysis.ipynb
ML-Workspace
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[D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on.
Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
- ML-Workspace
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Coding for machine learning on Tab S8?
The other option - no reason why you couldn't host something on the desktop machine - web based IDE like R-Studio or Python - have a look at ml-workspace - https://github.com/ml-tooling/ml-workspace that runs in Docker and would provide interfaces for both Python and R, VSCode as well as a GPU accelerated variant for doing Tensorflow etc - either Windows or Linux can support Docker containers (Linux is less trouble apparently - I only have played with it in Linux personally)
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Dynamically spin up VM (based on specific HTTPS request) and stop it once session is over?
It will be a web based IDE dev kit (like Jupyter Hub, or JupyterLab) if you are familiar with them)
- All-in-One Docker Based IDE for Data Science and ML
- Visual Studio Code now available as Web based editor for GitHub repos
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[P] Install or update CUDA, NVIDIA Drivers, Pytorch, Tensorflow, and CuDNN with a single command: Lambda Stack
I'll stick with https://github.com/ml-tooling/ml-workspace, is a docker with all tools installed, also the option of using GPU, so I think is better than only for debian. This way anyone can use it.
What are some alternatives?
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
JupyterLab - JupyterLab computational environment.
Linear-Algebra-With-Python - Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Gitpod - DEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm
pandas_exercises - Practice your pandas skills!
keytotext - Keywords to Sentences
100-pandas-puzzles - 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
Data-science - Collection of useful data science topics along with articles, videos, and code
Code-Server - VS Code in the browser
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)
pycaret - An open-source, low-code machine learning library in Python