coding-for-ml
Learning materials for Coding for Machine Learning and Data Science
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.2%) to scientific vocabulary
Repository
Learning materials for Coding for Machine Learning and Data Science
Basic Info
- Host: GitHub
- Owner: health-data-science-OR
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://www.pythonhealthdatascience.com
- Size: 21.2 MB
Statistics
- Stars: 19
- Watchers: 1
- Forks: 4
- Open Issues: 4
- Releases: 4
Metadata Files
README.md
Python for health data science: a hands-on introduction
Learning materials for Coding for Machine Learning and Data Science
This material is also available as a Jupyter Book
Installing the virtual environment
Details of a conda virtual environment is available in binder/environment.yml
- Clone the repo
- Navigate to the repo in a terminal (Mac/Linux) or anaconda prompt (Windows)
- Create the virtual environment
conda env create -f binder/environment.ymlActivate the environment
conda activate hds_codeLaunch Jupyter-lab to edit and run code
jupyter-lab
Citation
Please cite using the zenodo link. LaTex is:
@software{monks_thomas_2023_8377497,
author = {Monks, Thomas},
title = {{Python for health data science: a hands-on
introduction}},
month = sep,
year = 2023,
note = {{If you use this software, please cite it using the
metadata from this file.}},
publisher = {Zenodo},
version = {v2.0.1},
doi = {10.5281/zenodo.8377497},
url = {https://doi.org/10.5281/zenodo.8377497}
}
Owner
- Name: Health Data Science and Operations Research
- Login: health-data-science-OR
- Kind: organization
- Repositories: 14
- Profile: https://github.com/health-data-science-OR
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: 'Python for health data science: a hands-on introduction'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Thomas
family-names: Monks
affiliation: 'University of Exeter '
orcid: 'https://orcid.org/0000-0003-2631-4481'
identifiers:
- type: doi
value: 10.5281/zenodo.7107920
description: v2.0.0
repository-code: 'https://github.com/health-data-science-OR/coding-for-ml'
url: 'https://www.pythonhealthdatascience.com'
keywords:
- Python
- Health
- Data Science
license: MIT
version: 2.0.0
GitHub Events
Total
- Watch event: 2
- Issue comment event: 1
- Push event: 2
Last Year
- Watch event: 2
- Issue comment event: 1
- Push event: 2
Dependencies
- ubuntu 20.04 build
- py7zr ==0.20.0
- rich ==12.5.1
- scikit-learn ==1.1.2
- pytest-cov ==2.10.0
- setuptools >=51.1.2
- twine >=3.3.0
- wheel >0.36.2
- matplotlib >=3.1.3
- numpy >=1.18.1
- pandas >=1.0.1
- scipy >=1.4.1
- seaborn >=0.10.0