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Modern Data Science

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# Modern Data Science

---
- Materials in this module include resources collected from various open-source online repositories.
- You are free to use, change and distribute this package.
- Point of Contact: [A/Prof. Gang Li](https://github.com/tuliplab)

For the `Modern Data Science` course (including **[SIT742](http://www.deakin.edu.au/current-students-courses/unit.php?unit=SIT742)** unit at [Deakin Univeristy](http://www.deakin.edu.au)), prepared by [TULIP Lab](http://www.tulip.org.au), Australia

- 2019 maintainers: [Shaoni Wang](https://github.com/ShaoniWang)
- 2018 maintainers: [Shaoni Wang](https://github.com/ShaoniWang), [Qiong Wu](https://github.com/qwutulip), [Xin Han](https://github.com/xhan97)

---

## Content

### `Jupyter`

* Module 00: Python Programming
* Module 01: A Touch of Data Science
* Module 02: Data Visualization
* Module 03: Pattern Classification
* Module 04: Machine Learning
* Module 05: Deep Learning with Tensorflow
* Module 06: Apache Spark
* Module 07: Natural Language Processing
* ...

### `Mxnet`

* Deep Learning using Mxnet
    * Adapted from Chinese Version: 
        * [动手学深度学习](https://zh.gluon.ai) 
        * [Notebooks] (https://github.com/mli/gluon-tutorials-zh)
    * English Version:
        * [Deep Learning - The Straight Dope](http://gluon.mxnet.io)
        * [Notebooks] (https://github.com/zackchase/mxnet-the-straight-dope)
---

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