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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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