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machine-learning-novice-python

Introduction to Machine Learning with Python

https://github.com/carpentries-incubator/machine-learning-novice-python

Science Score: 54.0%

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
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    Found codemeta.json file
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    Scientific vocabulary similarity
    Low similarity (10.7%) to scientific vocabulary

Keywords

auroc bootstrapping carpentries-incubator data-leakage english evaluation lesson machine-learning pre-alpha prediction python

Keywords from Contributors

ansible software-carpentry training ecology carpentries data-carpentry data-wrangling open-educational-resources stable closember
Last synced: 6 months ago · JSON representation ·

Repository

Introduction to Machine Learning with Python

Basic Info
Statistics
  • Stars: 6
  • Watchers: 5
  • Forks: 15
  • Open Issues: 11
  • Releases: 1
Topics
auroc bootstrapping carpentries-incubator data-leakage english evaluation lesson machine-learning pre-alpha prediction python
Created about 5 years ago · Last pushed 10 months ago
Metadata Files
Readme Contributing Funding License Code of conduct Citation Authors

README.md

Introduction to Machine Learning in Python

This half-day lesson gives an introduction to common methods and terminologies used in machine learning, with a focus on prediction. We cover areas such as data preparation and resampling, model building, and model evaluation.

It is a prerequisite for the other lessons in the machine learning curriculum. In later lessons we explore tree-based models for prediction, neural networks for image classification, and responsible machine learning.

  1. Introduction to Machine Learning in Python [Lesson materials; Code repository]
  2. Introduction to Tree Models in Python [Lesson materials; Code repository]
  3. Introduction to artificial neural networks in Python [Lesson materials; Code repository]
  4. Responsible machine learning in Python [Lesson materials; Code repository]

Workshop schedule

These lessons are being run at University of Edinburgh as part of the Ed-DaSH Data Science training programme for Health and Biosciences.

The first lessons were taught in May: https://edcarp.github.io/2022-05-24ed-dashmachine-learning/. For a list of future lessons, see: https://edcarp.github.io/Ed-DaSH/workshops

Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Please see the current list of issues for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon. Look for the tag good_first_issue. This indicates that the maintainers will welcome a pull request fixing this issue.

Maintainer(s)

Current maintainers of this lesson are:

Authors

A list of contributors to the lesson can be found in AUTHORS

Citation

To cite this lesson, please consult with CITATION

Owner

  • Name: carpentries-incubator
  • Login: carpentries-incubator
  • Kind: organization

Citation (CITATION) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Pollard"
  given-names: "Tom"
  orcid: "https://orcid.org/0000-0002-5676-7898"
- family-names: "Peru"
  given-names: "Giacomo"
title: "Introduction to Machine Learning in Python (Carpentries Incubator)"
version: 0.1.0
date-released: 2022-05-24
url: "https://github.com/carpentries-incubator/machine-learning-novice-python"

GitHub Events

Total
  • Create event: 1
  • Release event: 1
  • Issues event: 1
  • Issue comment event: 5
  • Fork event: 4
Last Year
  • Create event: 1
  • Release event: 1
  • Issues event: 1
  • Issue comment event: 5
  • Fork event: 4

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 752
  • Total Committers: 75
  • Avg Commits per committer: 10.027
  • Development Distribution Score (DDS): 0.819
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
François Michonneau f****u@g****m 136
Maxim Belkin m****n@g****m 134
Greg Wilson g****n@t****m 95
Tom Pollard t****d@m****u 77
Raniere Silva r****e@r****m 67
Abigail Cabunoc a****c@o****a 25
Raniere Silva r****e@i****r 24
Toby Hodges t****s@g****m 22
Zhian N. Kamvar z****r@g****m 20
Katrin Leinweber 9****r 16
Erin Becker e****r@g****m 11
Joao Rodrigues j****s@g****m 10
Chris Erdmann c****s@c****g 8
Rayna M Harris r****s 6
Rémi Emonet r****t@r****e 5
David Mawdsley d****y@m****k 4
Joseph Stachelek j****a 4
Piotr Banaszkiewicz p****r@b****g 4
raynamharris r****s@u****u 4
Michael R. Crusoe 1****c 3
William L. Close w****e 3
Paula Andrea o****0 3
Renato Alves a****c@g****m 3
James Allen j****8@g****m 2
Ian Lee l****1@l****v 2
Henry Schreiner H****I@g****m 2
Brandon Curtis b****s@g****m 2
Ana Costa 2****t 2
Trevor Keller t****r@g****m 2
Tracy Teal t****l@g****m 2
and 45 more...
Committer Domains (Top 20 + Academic)
manchester.ac.uk: 3 ime.unicamp.br: 2 third-bit.com: 1 mit.edu: 1 rgaiacs.com: 1 oicr.on.ca: 1 carpentries.org: 1 reverse--com.heeere: 1 banaszkiewicz.org: 1 utexas.edu: 1 llnl.gov: 1 asu.edu: 1 auckland.ac.nz: 1 utoronto.ca: 1 ucr.edu: 1 tremily.us: 1 email.arizona.edu: 1 sesync.org: 1 software-carpentry.org: 1 fz-juelich.de: 1 berkeley.edu: 1 aber.ac.uk: 1 nist.gov: 1 brown.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 13
  • Total pull requests: 16
  • Average time to close issues: 14 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 6
  • Total pull request authors: 8
  • Average comments per issue: 0.46
  • Average comments per pull request: 1.38
  • Merged pull requests: 13
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 1
  • Average time to close issues: 33 minutes
  • Average time to close pull requests: 9 minutes
  • Issue authors: 3
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • tompollard (7)
  • MelanieIStefan (2)
  • alanocallaghan (1)
  • rrgmd (1)
  • tobyhodges (1)
  • TakeshiTohyama (1)
Pull Request Authors
  • tompollard (9)
  • amanmdesai (2)
  • mike-allaway (2)
  • TakeshiTohyama (2)
  • hwarden162 (1)
  • anenadic (1)
  • zkamvar (1)
  • fmichonneau (1)
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Dependencies

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