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Update julia-python-and-r.md
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dA505819 authored May 26, 2020
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- [Machine Learning](#machine-learning)
- [Deep Learning](#deep-learning)
- [Reinforcement Learning](#reinforcement-learning)
- [Programming in R](#programming-in-r)
- [Visualisation](#visualisation)
- [More...](#more)
- [Contributing](#contributing)
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- [Large-scale linear classification, regression and ranking in Python](https://github.com/scikit-learn-contrib/lightning)
- [AutoKeras: The Killer of Google’s AutoML](https://towardsdatascience.com/autokeras-the-killer-of-googles-automl-9e84c552a319)
- [A curated list of research, applications and projects built using H2O Machine Learning](https://github.com/h2oai/awesome-h2o) | [H2O GitHub org](https://github.com/h2oai/)
- [Tutorial: Debugging in R](https://www.geeksforgeeks.org/debugging-in-r-programming/)
- [Tutorial: ANOVA Test in R Programming](https://www.geeksforgeeks.org/anova-test-in-r-programming/)
- [Tutorial: Advanced Jupyter Notebooks](https://www.dataquest.io/blog/advanced-jupyter-notebooks-tutorial/)
- [Scipy Lecture Notes: One document to learn numerics, science, and data with Python](http://scipy-lectures.org/)
- [Web Scraping - It’s Your Civic Duty](https://pbpython.com/web-scraping-mn-budget.html)
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See [Programming in Python](../Programming-in-Python.md)

## Programming in R

- [Tutorial: Debugging in R](https://www.geeksforgeeks.org/debugging-in-r-programming/)
- [Tutorial: ANOVA Test in R Programming](https://www.geeksforgeeks.org/anova-test-in-r-programming/)

## Visualisation

See [Visualisation](./visualisation.md#visualisation)
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