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authoredJul 21, 2020
Add data presentation category (krzjoa#16)
* Update README.md * Update README.md * Update README.md * Update README.md
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‎README.md

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* [Data Manipulation](#data-manipulation)
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* [Feature Engineering](#feature-engineering)
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* [Visualization](#visualization)
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* [Deployment](#deployment)
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* [Model Explanation](#model-explanation)
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* [Reinforcement Learning](#reinforcement-learning)
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* [Probabilistic Methods](#probabilistic-methods)
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* [animatplot](https://github.com/t-makaro/animatplot) - A python package for animating plots build on matplotlib.
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* [plotly](https://plot.ly/python/) - A Python library that makes interactive and publication-quality graphs.
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## Deployment
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* [datapane](https://datapane.com/) - A collection of APIs to turn scripts and notebooks into interactive reports.
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* [fastapi](https://fastapi.tiangolo.com/) - Modern, fast (high-performance), web framework for building APIs with Python
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* [streamlit](https://www.streamlit.io/) - Make it easy to deploy machine learning model
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## Model Explanation
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* [Alibi](https://github.com/SeldonIO/alibi) - Algorithms for monitoring and explaining machine learning models.
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* [anchor](https://github.com/marcotcr/anchor) - Code for "High-Precision Model-Agnostic Explanations" paper.

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