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contains course data files, assignment notebooks, miscellaneous, readings, and syllabus

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// repository documentation

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## Introduction to Data.M.i.n.i.n.g.  
- [`syllabus.intro.data.mine.cosc.five.two.six.pdf`](https://github.com/cosc-526/home.page/files/11682380/syllabus.intro.data.mine.cosc.five.two.six.pdf)
- 
- `tools`  
- [`reference.library.python.all.objects.loops.iterators.and.more.pdf`](https://github.com/cosc-526/home.page/files/11682632/reference.library.data.containers.conditionals.iterators.functions.libraries.transformers.classes.pdf)  
- [`reference.library.Python.functions.pdf`](https://github.com/cosc-526/home.page/files/11682628/reference.library.py.functions.pdf)  
- [how.To.algorithm.Assess.fit.super.unsuper.pdf](https://github.com/cosc-526/home.page/files/11960910/how.To.algorithm.Assess.fit.super.unsuper.pdf)   
- [how.To.algorithm.preprocess.by.type.pdf](https://github.com/cosc-526/home.page/files/11960919/how.To.algorithm.preprocess.by.type.pdf)  
- [how.To.preprocess.by.algorithm.super.Unsuper.pdf](https://github.com/cosc-526/home.page/files/11960968/how.To.preprocess.by.algorithm.super.Unsuper.pdf)  
- [how.To.good.Spark.mechanics.and.databricks.pdf](https://github.com/cosc-526/home.page/files/11960986/how.To.good.Spark.mechanics.and.databricks.pdf)

[`M8 Interviewing tools`][cheat.Interview.prep.for.AI.ML.NLP.a.prasad.pdf](https://github.com/cosc-526/home.page/files/12152880/cheat.Interview.prep.for.AI.ML.NLP.a.prasad.pdf)

`Python software`  
- [colab](https://colab.research.google.com/) =>google notebooks with other features like expand\collapse 
- [Jupyter.Notebooks.install](https://jupyter.org/install)  
- [JupyterLite.Cloud](https://jupyter.org/try-jupyter/retro/notebooks/?path=notebooks/Intro.ipynb), aka web.based Python  
- - jupyterlite cloud => great utility! -> `use of PySpark in lite not recommended`

see canvas for exhaustive syllabi items  
![g landing page](https://github.com/cosc-526/cosc.526.home.page/assets/133147275/b7d8fb79-5a5e-4e23-a0ad-a3e4b4af8ad9)  
![g landing page](https://github.com/cosc-526/cosc.526.home.page/assets/133147275/cce139e0-0f57-4343-b6a5-31d69aed1002)

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