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Merge pull request academic#579 from Godswill-code/fix/toc-cleanup
Fix README table of contents entries
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README.md

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- [Colleges](#colleges)
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- [The Data Science Toolbox](#the-data-science-toolbox)
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- [TabGAN](https://github.com/Diyago/Tabular-data-generation) - Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
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- [Algorithms](#algorithms)
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- [Supervised Learning](#supervised-learning)
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- [Unsupervised Learning](#unsupervised-learning)
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- [Comics](#comics)
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- [Other Awesome Lists](#other-awesome-lists)
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- [Hobby](#hobby)
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- [AI Weekly](https://aiweekly.co) - Curated AI intelligence briefing from industry leaders covering models, funding, policy, and applications. 3x/week since 2017, 40K+ subscribers.
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## What is Data Science?
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**[`^ back to top ^`](#awesome-data-science)**
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| --- | --- |
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| [The Data Science Lifecycle Process](https://github.com/dslp/dslp) | The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo |
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| [Data Science Lifecycle Template Repo](https://github.com/dslp/dslp-repo-template) | Template repository for data science lifecycle project |
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| [TabGAN](https://github.com/Diyago/Tabular-data-generation) | Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics. |
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| [RexMex](https://github.com/AstraZeneca/rexmex) | A general purpose recommender metrics library for fair evaluation. |
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| [ChemicalX](https://github.com/AstraZeneca/chemicalx) | A PyTorch based deep learning library for drug pair scoring. |
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| [CorpusExplorer](http://corpusexplorer.de/) | Software for corpus linguists and text/data mining enthusiasts. Build your own corpora in over 60 languages. Use over 50 tools/visualizations. |
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### Newsletters
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**[`^ back to top ^`](#awesome-data-science)**
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- [AI Weekly](https://aiweekly.co) - Curated AI intelligence briefing from industry leaders covering models, funding, policy, and applications. 3x/week since 2017, 40K+ subscribers.
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- [DataTalks.Club](https://datatalks.club). A weekly newsletter about data-related things. [Archive](https://us19.campaign-archive.com/home/?u=0d7822ab98152f5afc118c176&id=97178021aa).
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- [The Analytics Engineering Roundup](https://roundup.getdbt.com/about). A newsletter about data science. [Archive](https://roundup.getdbt.com/archive).
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- [Techpresso](https://dupple.com/techpresso). A free daily newsletter covering the most impactful developments in AI, ML, and tech. [Archive](https://dupple.com/techpresso).

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