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George Mihaila
2020-10-26 17:48:09 -05:00
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@@ -16,15 +16,26 @@ That is not all! This library also contains Python code snippets and notebooks t
# Table of contents
* **[ML_things](https://github.com/gmihaila/ml_things#ml_things)**: Details on the ml_things libary how to install and use it.
* **[ML_things](https://github.com/gmihaila/ml_things#ml_things)**:
* **[Installation](https://github.com/gmihaila/ml_things#installation)** Details on how to install **ml_things**.
* **[Array Functions](https://github.com/gmihaila/ml_things#array-functions)** Details on the **ml_things** array related functions:
* [pad_array](https://github.com/gmihaila/ml_things#pad_array-source)
* [batch_array](https://github.com/gmihaila/ml_things#batch_array-source)
* **[Plot Functions](https://github.com/gmihaila/ml_things#plot-functions)** Details on the **ml_things** plot related functions:
* [pad_array](https://github.com/gmihaila/ml_things#pad_array-source)
* [batch_array](https://github.com/gmihaila/ml_things#batch_array-source)
* **[Text Functions](https://github.com/gmihaila/ml_things#text-functions)** Details on the **ml_things** text related functions:
* [clean_text](https://github.com/gmihaila/ml_things#clean_text-source)
* **[Web Related](https://github.com/gmihaila/ml_things#web-related)** Details on the **ml_things** web related functions:
* [download_from](https://github.com/gmihaila/ml_things#download_from-source)
* **[Snippets](https://github.com/gmihaila/ml_things#snippets)**: Curated list of Python snippets I frequently use.
* **[Comments](https://github.com/gmihaila/ml_things#comments)**: Some small snippets of how I like to comment my code.
* **[Comments](https://github.com/gmihaila/ml_things#comments)**: Sample on how I like to comment my code. It is still a work in progress.
* **[Notebooks](https://github.com/gmihaila/ml_things#notebooks)**: Google Colab Notebooks from old project that I converted to tutorials.
* **[Notebooks](https://github.com/gmihaila/ml_things#notebooks)**: Machine learning projects that I converted to tutorials and posted online.
* **[Final Note](https://github.com/gmihaila/ml_things#final-note)**
* **[Final Note](https://github.com/gmihaila/ml_things#final-note)**: Being grateful.
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