GitHub - elch10/Cheat-Sheets: Cheat-sheets for ML related tools and course notes

The collection of cheat-sheets that I've collected during learning new tools/areas of mathematics

This repo also contains cheat-sheets from other's repos. I am going to add links to that repos as soon as possible. The root folder contains mostly of cheat-sheets that related to ML tools

Probability lectures was taken from https://www.coursera.org/learn/probability-theory-basics?

Name		Name	Last commit message	Last commit date
linux		linux
probability		probability
spark		spark
sql		sql
statistics		statistics
GBMs.pdf		GBMs.pdf
GDB Cheat Sheet.pdf		GDB Cheat Sheet.pdf
Numpy_Python_Cheat_Sheet.pdf		Numpy_Python_Cheat_Sheet.pdf
Pandas_Cheat_Sheet.pdf		Pandas_Cheat_Sheet.pdf
PrecisionRecall.png		PrecisionRecall.png
Python_Matplotlib_Cheat_Sheet.pdf		Python_Matplotlib_Cheat_Sheet.pdf
Python_Seaborn_Cheat_Sheet.pdf		Python_Seaborn_Cheat_Sheet.pdf
README.md		README.md
ROC_AUC.png		ROC_AUC.png
Rformulanotation.pdf		Rformulanotation.pdf
Scikit_Learn_Cheat_Sheet_Python.pdf		Scikit_Learn_Cheat_Sheet_Python.pdf
conda-cheatsheet.pdf		conda-cheatsheet.pdf
feature_engineering.pdf		feature_engineering.pdf
gdb-refcard.pdf		gdb-refcard.pdf
git-cheat-sheet.pdf		git-cheat-sheet.pdf
plotly_cheat_sheet.pdf		plotly_cheat_sheet.pdf
scikit_cheatsheet.jpg		scikit_cheatsheet.jpg
super-cheatsheet-machine-learning.pdf		super-cheatsheet-machine-learning.pdf
unstage.png		unstage.png

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The collection of cheat-sheets that I've collected during learning new tools/areas of mathematics

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