This open-source project is about creating a collection of materials that make machine learning accessible to all, with a focus on practical use.
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Enable developers new to machine learning to:
- understand enough ML concepts to practically use it
- practically get started with ML
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Improve accessibility to the topic:
- Form a comprehensive basis for an open-source e-book
This repo needs help! Contributions from HacktoberFest 2022 Are Encouraged!
- Comment on an open issue that you wish to contribute to it - it will be assigned to you 🙂
- Where work draws direct inspiration from another work - it must be fully referenced - using the IEEE standard
- Help on IEEE to follow soon... IEEE Referencing Style
- All linked to external resources must be openly available for free
- Must run in an interactive python notebook (.ipynb)
- OR: if no .ipynb:
- full code (including setup) must be provided
- expected output must be provided
- (nothing specific yet...)