├── .github └── ISSUE_TEMPLATE │ └── feature_request.md ├── .gitignore ├── .gitmodules ├── Big_Data ├── daskcheatsheet.pdf ├── img │ ├── daskcheatsheet │ │ ├── daskcheatsheet-1.png │ │ └── daskcheatsheet-2.png │ ├── pyspark_df │ │ └── pyspark_df-1.png │ └── pyspark_rdd │ │ └── pyspark_rdd-1.png ├── pyspark_df.pdf └── pyspark_rdd.pdf ├── Business_Science └── img │ ├── Business_Science_Problem_Framework.png │ ├── Data_Science_With_Python_Workflow.png │ └── Data_Science_With_R_Workflow.png ├── Data_Visualization ├── Comprehensive Guide to Data Visualization_R.pdf └── img │ ├── Comprehensive Guide to Data Visualization_R-1.png │ └── data-visualisation-infographics-python.jpg ├── Deep_Learning ├── Neural Network Cells.png ├── Neural Network Graphs.png ├── cheatsheet-convolutional-neural-networks.pdf ├── cheatsheet-deep-learning-tips-tricks.pdf ├── cheatsheet-deep-learning.pdf ├── cheatsheet-recurrent-neural-networks.pdf ├── img │ ├── cheatsheet-convolutional-neural-networks │ │ ├── cheatsheet-convolutional-neural-networks-1.png │ │ ├── cheatsheet-convolutional-neural-networks-2.png │ │ ├── cheatsheet-convolutional-neural-networks-3.png │ │ ├── cheatsheet-convolutional-neural-networks-4.png │ │ └── cheatsheet-convolutional-neural-networks-5.png │ ├── cheatsheet-deep-learning-tips-tricks │ │ ├── cheatsheet-deep-learning-tips-tricks-1.png │ │ ├── cheatsheet-deep-learning-tips-tricks-2.png │ │ └── cheatsheet-deep-learning-tips-tricks-3.png │ ├── cheatsheet-deep-learning │ │ ├── cheatsheet-deep-learning-1.png │ │ └── cheatsheet-deep-learning-2.png │ ├── cheatsheet-recurrent-neural-networks │ │ ├── cheatsheet-recurrent-neural-networks-1.png │ │ ├── cheatsheet-recurrent-neural-networks-2.png │ │ ├── cheatsheet-recurrent-neural-networks-3.png │ │ ├── cheatsheet-recurrent-neural-networks-4.png │ │ └── cheatsheet-recurrent-neural-networks-5.png │ └── keras_datacamp-1.png └── keras_datacamp.pdf ├── General ├── BASH │ ├── bash_cheat_sheet.pdf │ └── img │ │ ├── Linux-bash-cheatsheet-pg1.png │ │ ├── Linux-bash-cheatsheet-pg2.png │ │ ├── Linux-bash-cheatsheet-pg3.png │ │ ├── Linux-bash-cheatsheet-pg4.png │ │ ├── Linux-bash-cheatsheet-pg5.png │ │ └── Linux-bash-cheatsheet-pg6.png ├── DVC │ ├── DVC_cheatsheet.pdf │ └── img │ │ └── DVC_cheatsheet.png ├── Git │ ├── atlassian-git-cheatsheet.pdf │ └── img │ │ ├── Atlassian_git_cheatsheet_pg1.png │ │ └── Atlassian_git_cheatsheet_pg2.png ├── Text_Editors │ ├── Emacs │ │ ├── How-to-learn-Emacs-v2-large.pdf │ │ └── How-to-learn-Emacs-v2-large.png │ └── Vim │ │ ├── vim_cheat_sheet_for_programmers_print.pdf │ │ └── vim_cheat_sheet_for_programmers_print.png ├── data-science-cheatsheet.pdf └── img │ └── data-science-cheatsheet │ ├── data-science-cheatsheet-01.png │ ├── data-science-cheatsheet-02.png │ ├── data-science-cheatsheet-03.png │ ├── data-science-cheatsheet-04.png │ ├── data-science-cheatsheet-05.png │ ├── data-science-cheatsheet-06.png │ ├── data-science-cheatsheet-07.png │ ├── data-science-cheatsheet-08.png │ ├── data-science-cheatsheet-09.png │ └── data-science-cheatsheet-10.png ├── LICENSE ├── Machine_Learning ├── Choosing_Model │ ├── img │ │ ├── microsoft-machine-learning-algorithm-cheat-sheet-v7-1.png │ │ └── ml_map_scikit_learn.png │ └── microsoft-machine-learning-algorithm-cheat-sheet-v7.pdf ├── Supervised Learning │ ├── bsu-regression.pdf │ ├── cheatsheet-supervised-learning.pdf │ └── img │ │ ├── bsu-regression-cheatsheet.png │ │ └── cheatsheet-supervised-learning │ │ ├── cheatsheet-supervised-learning-1.png │ │ ├── cheatsheet-supervised-learning-2.png │ │ ├── cheatsheet-supervised-learning-3.png │ │ └── cheatsheet-supervised-learning-4.png ├── Tricks │ ├── cheatsheet-machine-learning-tips-and-tricks.pdf │ └── img │ │ └── cheatsheet-machine-learning-tips-and-tricks │ │ ├── cheatsheet-machine-learning-tips-and-tricks-1.png │ │ ├── cheatsheet-machine-learning-tips-and-tricks-2.png │ │ └── cheatsheet-machine-learning-tips-and-tricks-3.png └── Unsupervised Learning │ ├── cheatsheet-unsupervised-learning.pdf │ ├── img │ ├── BSU-segmentation-clustering.png │ └── cheatsheet-unsupervised-learning │ │ ├── cheatsheet-unsupervised-learning-1.png │ │ ├── cheatsheet-unsupervised-learning-2.png │ │ └── cheatsheet-unsupervised-learning-3.png │ └── segmentation_clustering.pdf ├── Math_Calculus ├── Probability Cheatsheet.pdf ├── img │ ├── Probability Cheatsheet │ │ ├── 1.PNG │ │ ├── 10.PNG │ │ ├── 2.PNG │ │ ├── 3.PNG │ │ ├── 4.PNG │ │ ├── 5.PNG │ │ ├── 6.PNG │ │ ├── 7.PNG │ │ ├── 8.PNG │ │ └── 9.PNG │ ├── refresher-algebra-calculus │ │ ├── refresher-algebra-calculus-1.png │ │ └── refresher-algebra-calculus-2.png │ └── refresher-probabilities-statistics │ │ ├── refresher-probabilities-statistics-1.png │ │ ├── refresher-probabilities-statistics-2.png │ │ └── refresher-probabilities-statistics-3.png ├── refresher-algebra-calculus.pdf └── refresher-probabilities-statistics.pdf ├── Python ├── Datacamp │ ├── bokeh.pdf │ ├── img │ │ ├── bokeh-1.png │ │ ├── import_data-1.png │ │ ├── jupyter-1.png │ │ ├── keras-1.png │ │ ├── matplotlib-1.png │ │ ├── numpy_basics-1.png │ │ ├── pandas-1.png │ │ ├── pandas_basics-1.png │ │ ├── python_basics-1.png │ │ ├── scikit-learn-1.png │ │ ├── scipy_linear_algebra-1.png │ │ └── seaborn-1.png │ ├── import_data.pdf │ ├── jupyter.pdf │ ├── keras.pdf │ ├── matplotlib.pdf │ ├── numpy_basics.pdf │ ├── pandas.pdf │ ├── pandas_basics.pdf │ ├── python_basics.pdf │ ├── scikit-learn.pdf │ ├── scipy_linear_algebra.pdf │ └── seaborn.pdf ├── Dataquest │ ├── Intermediate-Python-Cheat-Sheet.pdf │ ├── img │ │ ├── Intermediate-Python-Cheat-Sheet-1.png │ │ └── dataquest-python-regex.png │ └── python-regular-expressions-cheat-sheet.pdf ├── Others │ ├── img │ │ └── mementopython3-english │ │ │ ├── mementopython3-english-1.png │ │ │ └── mementopython3-english-2.png │ └── mementopython3-english.pdf └── Python_Crash_Course │ ├── Beginners-Python-Cheat-Sheet.pdf │ └── Beginners-Python-Cheat-Sheet.png ├── R └── 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