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Adding the footer to each of the split pages
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neomatrix369 committed Oct 23, 2019
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12 changes: 11 additions & 1 deletion ML-on-code-programming-source-code.md
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- [Machine Learning on Source Code](https://ml4code.github.io/)
- [ML on Code devroom at FOSDEM](https://archive.fosdem.org/2019/schedule/track/ml_on_code/)
- [The Open Source Show: Machine Learning on Code](https://channel9.msdn.com/Shows/The-Open-Source-Show/Machine-Learning-on-Code) by Rob Caron, Lacey Butler, Allison Cordle
- [Machine Learning for Programming](https://ml4p.org/) - conference held in 2018 in Oxford, UK
- [Machine Learning for Programming](https://ml4p.org/) - conference held in 2018 in Oxford, UK

# Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the [CONTRIBUTING](CONTRIBUTING.md) guidelines, also have a read about our [licensing](LICENSE.md) policy.

---

Back to [main page (table of contents)](README.md)
2 changes: 1 addition & 1 deletion Programming-in-Python.md
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---

Back to [main page (table of contents)](README.md)
Back to [main page (table of contents)](README.md)
10 changes: 10 additions & 0 deletions cheatsheets.md
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- [Algorithms related cheatsheets - Big-O cheatsheet](http://bigocheatsheet.com/)
- [ML Cheatsheet by Nabih Ibrahim Bawazir](https://media.licdn.com/dms/document/C511FAQGFXvKuRmt5Rg/feedshare-document-pdf-analyzed/0?e=1569596400&v=beta&t=n4ZRWnYpc1KOTo8lZ2sKmOI7rRChPkApOQEQBBDhaXg)
- [Statistics cheatsheet](https://media.licdn.com/dms/document/C511FAQF31AWGmSTzMQ/feedshare-document-pdf-analyzed/0?e=1571943600&v=beta&t=9HwhZIlxIBW4zT7LLHyiJPA5djyKcjo4rFjiausHRn8)

# Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the [CONTRIBUTING](CONTRIBUTING.md) guidelines, also have a read about our [licensing](LICENSE.md) policy.

---

Back to [main page (table of contents)](README.md)
12 changes: 11 additions & 1 deletion competitions.md
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- [Hacker Rank](https://lnkd.in/gEufBUu)
- [Codeacademy](https://lnkd.in/gGQ7cuv)
- [LeetCode](https://leetcode.com/)
- [LeetCode](https://leetcode.com/)

# Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the [CONTRIBUTING](CONTRIBUTING.md) guidelines, also have a read about our [licensing](LICENSE.md) policy.

---

Back to [main page (table of contents)](README.md)
2 changes: 2 additions & 0 deletions data/README.md
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## Post model-creation analysis, ML interpretation/explainability

### Libraries & packages

- [Yellowbrick](https://www.scikit-yb.org/en/latest/#yellowbrick-machine-learning-visualization) - is a suite of visual diagnostic tools called “Visualizers” that extend the Scikit-Learn API to allow human steering of the model selection process
- [Shap](https://github.com/slundberg/shap) - A unified approach to explain the output of any machine learning model
- [LIME](https://github.com/marcotcr/lime)
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- [Awesome Machine Learning Interpretability](https://github.com/jphall663/awesome-machine-learning-interpretability) - A Curated, but Probably Biased and Incomplete, List of Awesome Machine Learning Interpretability Resources

### Articles, blog posts, papers, notebooks, books, presentations

- [DataRobot: Model Interpretability - What is Model Interpretability in Machine Learning?](https://www.datarobot.com/wiki/interpretability/)
- [Model Interpretability with SHAP](http://www.f1-predictor.com/model-interpretability-with-shap/)
- [Interpreting bag of words models with SHAP](https://sararobinson.dev/2019/04/23/interpret-bag-of-words-models-shap.html)
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12 changes: 12 additions & 0 deletions data/statistics.md
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- [Statistics cheatsheet](https://media.licdn.com/dms/document/C511FAQF31AWGmSTzMQ/feedshare-document-pdf-analyzed/0?e=1571943600&v=beta&t=9HwhZIlxIBW4zT7LLHyiJPA5djyKcjo4rFjiausHRn8)
- [Statistics by Chris Albon](https://chrisalbon.com/#statistics) - covering Frequentist topics
- For more, see [Mathematics, Statistics, Probability & Probabilistic programming](../README-details.md#mathematics-statistics-probability--probabilistic-programming)


# Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the [CONTRIBUTING](CONTRIBUTING.md) guidelines, also have a read about our [licensing](LICENSE.md) policy.

---

Back to [Data page (table of contents)](README.md)</br>
Back to [main page (table of contents)](../README.md)
12 changes: 11 additions & 1 deletion notebooks.md
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- [Notebook 1](https://colab.research.google.com/drive/1YH3PXYx9SzDz7tsz_99H4U8aCeTPb_JV)
- [Notebook 2](https://colab.research.google.com/drive/1W51JKgZovi7QJvghGZp9FLCdJxE5SmU7)
- [Notebook 3](https://colab.research.google.com/drive/1NfYTr-gNlUOCKedV2LRPH7ah6F9o-7re)
- [Github for Jupiter Notebooks](https://github.com/DanRHowarth/Tensorflow-2.0)
- [Github for Jupiter Notebooks](https://github.com/DanRHowarth/Tensorflow-2.0)

# Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the [CONTRIBUTING](CONTRIBUTING.md) guidelines, also have a read about our [licensing](LICENSE.md) policy.

---

Back to [main page (table of contents)](README.md)
10 changes: 10 additions & 0 deletions visualisation.md
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- [Seaborn](https://lnkd.in/gih7hqz)
- [Plotly](https://lnkd.in/gBYBMXc)
- [Python Graph Gallery](https://lnkd.in/gdGe-ef)

# Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the [CONTRIBUTING](CONTRIBUTING.md) guidelines, also have a read about our [licensing](LICENSE.md) policy.

---

Back to [main page (table of contents)](README.md)

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