diff --git a/Algorithms/Algorithms.pdf b/Algorithms/Algorithms.pdf new file mode 100644 index 00000000..d46d17e5 Binary files /dev/null and b/Algorithms/Algorithms.pdf differ diff --git a/Artificial Intelligence/Cheat Sheets for AI.pdf b/Artificial Intelligence/Cheat Sheets for AI.pdf new file mode 100644 index 00000000..197065b9 Binary files /dev/null and b/Artificial Intelligence/Cheat Sheets for AI.pdf differ diff --git a/Artificial Intelligence/README.md b/Artificial Intelligence/README.md new file mode 100644 index 00000000..fd0ee34f --- /dev/null +++ b/Artificial Intelligence/README.md @@ -0,0 +1 @@ +# Artificial Intelligence Cheat Sheet diff --git a/Artificial Intelligence/super-cheatsheet-artificial-intelligence.pdf b/Artificial Intelligence/super-cheatsheet-artificial-intelligence.pdf new file mode 100644 index 00000000..fa0348cb Binary files /dev/null and b/Artificial Intelligence/super-cheatsheet-artificial-intelligence.pdf differ diff --git a/Big Data/AP.pdf b/Big 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Data/README.md b/Big Data/README.md new file mode 100644 index 00000000..0719dc3f --- /dev/null +++ b/Big Data/README.md @@ -0,0 +1 @@ +# Big Data Cheat Sheet diff --git a/Big Data/big-data-analytics-emerging-architecture.pdf b/Big Data/big-data-analytics-emerging-architecture.pdf new file mode 100644 index 00000000..3eb2e925 Binary files /dev/null and b/Big Data/big-data-analytics-emerging-architecture.pdf differ diff --git a/Big Data/bigdata-case-studybook_final.pdf b/Big Data/bigdata-case-studybook_final.pdf new file mode 100644 index 00000000..76707f18 Binary files /dev/null and b/Big Data/bigdata-case-studybook_final.pdf differ diff --git a/Big Data/hadoop-and-spark-performance-for-the-enterprise.pdf b/Big Data/hadoop-and-spark-performance-for-the-enterprise.pdf new file mode 100644 index 00000000..9388fcb7 Binary files /dev/null and b/Big Data/hadoop-and-spark-performance-for-the-enterprise.pdf differ diff --git a/Big Data/hadoop-hdfs-commands-cheatsheet.pdf b/Big 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Engineering/GDE.pdf new file mode 100644 index 00000000..55352766 Binary files /dev/null and b/Data Engineering/GDE.pdf differ diff --git a/Data Engineering/README.md b/Data Engineering/README.md new file mode 100644 index 00000000..20242b83 --- /dev/null +++ b/Data Engineering/README.md @@ -0,0 +1 @@ +# Data Engineering Cheat Sheet diff --git a/Data Mining/Data Mining Process, Techniques, Tools.pdf b/Data Mining/Data Mining Process, Techniques, Tools.pdf new file mode 100644 index 00000000..08731f34 Binary files /dev/null and b/Data Mining/Data Mining Process, Techniques, Tools.pdf differ diff --git a/Data Mining/OLTP vs OLAP.pdf b/Data Mining/OLTP vs OLAP.pdf new file mode 100644 index 00000000..eec0f776 Binary files /dev/null and b/Data Mining/OLTP vs OLAP.pdf differ diff --git a/Data Mining/README.md b/Data Mining/README.md new file mode 100644 index 00000000..d7085aba --- /dev/null +++ b/Data Mining/README.md @@ -0,0 +1 @@ +# Data Mining Cheat Sheet diff --git a/Data Mining/What Is Data Warehousing.pdf b/Data Mining/What Is Data Warehousing.pdf new file mode 100644 index 00000000..584664e5 Binary files /dev/null and b/Data Mining/What Is Data Warehousing.pdf differ diff --git a/Data Mining/What is Dimensional Model.pdf b/Data Mining/What is Dimensional Model.pdf new file mode 100644 index 00000000..8840c9e3 Binary files /dev/null and b/Data Mining/What is Dimensional Model.pdf differ diff --git a/Data Mining/What is OLAP.pdf b/Data Mining/What is OLAP.pdf new file mode 100644 index 00000000..ab2b647e Binary files /dev/null and b/Data Mining/What is OLAP.pdf differ diff --git a/Data Science/50YearsDataScience-1533532686598.pdf b/Data Science/50YearsDataScience-1533532686598.pdf new file mode 100644 index 00000000..6dc66eb9 Binary files /dev/null and b/Data Science/50YearsDataScience-1533532686598.pdf differ diff --git a/Data Science/BIvsDS.jpg b/Data Science/BIvsDS.jpg new file mode 100644 index 00000000..90860a71 Binary files /dev/null and b/Data 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differ diff --git a/Data Science/INTRODUCTION TO DATA SCIENCE.pdf b/Data Science/INTRODUCTION TO DATA SCIENCE.pdf new file mode 100644 index 00000000..fa48552a Binary files /dev/null and b/Data Science/INTRODUCTION TO DATA SCIENCE.pdf differ diff --git a/Data Science/PythonForDataScience.pdf b/Data Science/PythonForDataScience.pdf new file mode 100644 index 00000000..064f85b8 Binary files /dev/null and b/Data Science/PythonForDataScience.pdf differ diff --git a/Data Science/R/data-transformation.pdf b/Data Science/R/data-transformation.pdf new file mode 100644 index 00000000..fa57b05a Binary files /dev/null and b/Data Science/R/data-transformation.pdf differ diff --git a/Data Science/R/data-visualization-2.1.pdf b/Data Science/R/data-visualization-2.1.pdf new file mode 100644 index 00000000..ed269d61 Binary files /dev/null and b/Data Science/R/data-visualization-2.1.pdf differ diff --git a/Data Science/R/datatable.pdf b/Data Science/R/datatable.pdf new file mode 100644 index 00000000..2369c2ae Binary files /dev/null and b/Data Science/R/datatable.pdf differ diff --git a/Data Science/R/factors.pdf b/Data Science/R/factors.pdf new file mode 100644 index 00000000..d3384c2e Binary files /dev/null and b/Data Science/R/factors.pdf differ diff --git a/Data Science/R/lubridate.pdf b/Data Science/R/lubridate.pdf new file mode 100644 index 00000000..f183fa04 Binary files /dev/null and b/Data Science/R/lubridate.pdf differ diff --git a/Data Science/R/mlr.pdf b/Data Science/R/mlr.pdf new file mode 100644 index 00000000..af3ea22c Binary files /dev/null and b/Data Science/R/mlr.pdf differ diff --git a/Data Science/R/package-development.pdf b/Data Science/R/package-development.pdf new file mode 100644 index 00000000..311cc20f Binary files /dev/null and b/Data Science/R/package-development.pdf differ diff --git a/Data Science/R/purrr.pdf b/Data Science/R/purrr.pdf new file mode 100644 index 00000000..b6db9711 Binary files /dev/null and b/Data Science/R/purrr.pdf differ diff --git a/Data Science/R/strings.pdf b/Data Science/R/strings.pdf new file mode 100644 index 00000000..f94b2d89 Binary files /dev/null and b/Data Science/R/strings.pdf differ diff --git a/Data Science/README.md b/Data Science/README.md new file mode 100644 index 00000000..5fc372a9 --- /dev/null +++ b/Data Science/README.md @@ -0,0 +1 @@ +# Data Science Cheat Sheet diff --git a/Data Science/The 5 Feature Selection Algorithms every Data Scientist should know.pdf b/Data Science/The 5 Feature Selection Algorithms every Data Scientist should know.pdf new file mode 100644 index 00000000..e7502462 Binary files /dev/null and b/Data Science/The 5 Feature Selection Algorithms every Data Scientist should know.pdf differ diff --git a/Data Science/The-365-Data-Science-Booklet.pdf b/Data Science/The-365-Data-Science-Booklet.pdf new file mode 100644 index 00000000..003ef857 Binary files /dev/null and b/Data Science/The-365-Data-Science-Booklet.pdf differ diff --git a/Data 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Science/VIP Cheat Sheet (ML , DL , AI).pdf b/Data Science/VIP Cheat Sheet (ML , DL , AI).pdf new file mode 100644 index 00000000..d11ba55a Binary files /dev/null and b/Data Science/VIP Cheat Sheet (ML , DL , AI).pdf differ diff --git a/Data Science/What is Exploratory Data Analysis_ - Towards Data Science.pdf b/Data Science/What is Exploratory Data Analysis_ - Towards Data Science.pdf new file mode 100644 index 00000000..120ee766 Binary files /dev/null and b/Data Science/What is Exploratory Data Analysis_ - Towards Data Science.pdf differ diff --git a/Data Science/beginners_guide_to_data_science-_a_twics_guide__1_.pdf b/Data Science/beginners_guide_to_data_science-_a_twics_guide__1_.pdf new file mode 100644 index 00000000..40c78d91 Binary files /dev/null and b/Data Science/beginners_guide_to_data_science-_a_twics_guide__1_.pdf differ diff --git a/Data Science/building-data-science-teams.pdf b/Data Science/building-data-science-teams.pdf new file mode 100644 index 00000000..dabaf1c5 Binary files /dev/null and b/Data Science/building-data-science-teams.pdf differ diff --git a/Data Science/how-data-science-is-transforming-health-care.pdf b/Data Science/how-data-science-is-transforming-health-care.pdf new file mode 100644 index 00000000..15ac92bf Binary files /dev/null and b/Data Science/how-data-science-is-transforming-health-care.pdf differ diff --git a/Data Visualization/Advanced_Plotting.pdf b/Data Visualization/Advanced_Plotting.pdf new file mode 100644 index 00000000..ce184670 Binary files /dev/null and b/Data Visualization/Advanced_Plotting.pdf differ diff --git a/Data Visualization/Awesome Visualization Techniques for every dataset.pdf b/Data Visualization/Awesome Visualization Techniques for every dataset.pdf new file mode 100644 index 00000000..82ef2e17 Binary files /dev/null and b/Data Visualization/Awesome Visualization Techniques for every dataset.pdf differ diff --git a/Data Visualization/Data Visualization in R.pdf b/Data Visualization/Data Visualization in R.pdf new file mode 100644 index 00000000..f64505b1 Binary files /dev/null and b/Data Visualization/Data Visualization in R.pdf differ diff --git "a/Data Visualization/Data Visualization \342\200\223 How to Pick the Right Chart Type.pdf" "b/Data Visualization/Data Visualization \342\200\223 How to Pick the Right Chart Type.pdf" new file mode 100644 index 00000000..888cfeee Binary files /dev/null and "b/Data Visualization/Data Visualization \342\200\223 How to Pick the Right Chart Type.pdf" differ diff --git a/Data Visualization/Data_Visualization_101_How_to_Design_Charts_and_Graphs.pdf b/Data Visualization/Data_Visualization_101_How_to_Design_Charts_and_Graphs.pdf new file mode 100644 index 00000000..1e762304 Binary files /dev/null and b/Data Visualization/Data_Visualization_101_How_to_Design_Charts_and_Graphs.pdf differ diff --git a/Data Visualization/Data_Visualization_Grossberg_lecture1.pdf b/Data Visualization/Data_Visualization_Grossberg_lecture1.pdf new file mode 100644 index 00000000..a850ec83 Binary files /dev/null and b/Data Visualization/Data_Visualization_Grossberg_lecture1.pdf differ diff --git a/Data Visualization/Graphics.pdf b/Data Visualization/Graphics.pdf new file mode 100644 index 00000000..0ac1d01f Binary files /dev/null and b/Data Visualization/Graphics.pdf differ diff --git a/Data Visualization/Practical Statistics & Visualization With Python & Plotly.pdf b/Data Visualization/Practical Statistics & Visualization With Python & Plotly.pdf new file mode 100644 index 00000000..5e3b0f32 Binary files /dev/null and b/Data Visualization/Practical Statistics & Visualization With Python & Plotly.pdf differ diff --git a/Data Visualization/README.md b/Data Visualization/README.md new file mode 100644 index 00000000..e6119183 --- /dev/null +++ b/Data Visualization/README.md @@ -0,0 +1 @@ +# Data Visualization Cheat Sheet diff --git a/Data Visualization/The Art of Effective Visualization of Multi-dimensional Data.pdf b/Data Visualization/The Art of Effective Visualization of Multi-dimensional Data.pdf new file mode 100644 index 00000000..dcfc296b Binary files /dev/null and b/Data Visualization/The Art of Effective Visualization of Multi-dimensional Data.pdf differ diff --git a/Data Visualization/The Next Level of Data Visualization in Python - Towards Data Science.pdf b/Data Visualization/The Next Level of Data Visualization in Python - Towards Data Science.pdf new file mode 100644 index 00000000..5caed0da Binary files /dev/null and b/Data Visualization/The Next Level of Data Visualization in Python - Towards Data Science.pdf differ diff --git a/Data Visualization/data-visualization-storytelling.pdf b/Data Visualization/data-visualization-storytelling.pdf new file mode 100644 index 00000000..6ec0a810 Binary files /dev/null and b/Data Visualization/data-visualization-storytelling.pdf differ diff --git a/Data Visualization/desktop.ini b/Data Visualization/desktop.ini new file mode 100644 index 00000000..bf211100 --- /dev/null +++ b/Data Visualization/desktop.ini @@ -0,0 +1,3 @@ +[LocalizedFileNames] +Awesome Visualization Techniques for every dataset.pdf=@Awesome Visualization Techniques for every dataset.pdf,0 +ML_AndrewNG.pdf=@ML_AndrewNG.pdf,0 diff --git a/Data Visualization/ggplot2.pdf b/Data Visualization/ggplot2.pdf new file mode 100644 index 00000000..ff4b4bb1 Binary files /dev/null and b/Data Visualization/ggplot2.pdf differ diff --git a/Data Visualization/ggplot2_cheatsheet.pdf b/Data Visualization/ggplot2_cheatsheet.pdf new file mode 100644 index 00000000..7806bfdd Binary files /dev/null and b/Data Visualization/ggplot2_cheatsheet.pdf differ diff --git a/Data Visualization/plotly.pdf b/Data Visualization/plotly.pdf new file mode 100644 index 00000000..d9f5fca3 Binary files /dev/null and b/Data Visualization/plotly.pdf differ diff --git "a/Data Visualization/\342\234\250 Introducing Plotly Express \342\234\250 - Plotly - Medium.pdf" "b/Data Visualization/\342\234\250 Introducing Plotly Express \342\234\250 - Plotly - Medium.pdf" new file mode 100644 index 00000000..7bf70f79 Binary files /dev/null and "b/Data Visualization/\342\234\250 Introducing Plotly Express \342\234\250 - Plotly - Medium.pdf" differ diff --git a/Data Warehouse/Data Warehouse Concepts.pdf b/Data Warehouse/Data Warehouse Concepts.pdf new file mode 100644 index 00000000..f4a34e75 Binary files /dev/null and b/Data Warehouse/Data Warehouse Concepts.pdf differ diff --git a/Data Warehouse/README.md b/Data Warehouse/README.md new file mode 100644 index 00000000..55f63f6e --- /dev/null +++ b/Data Warehouse/README.md @@ -0,0 +1 @@ +# Data Warehouse Cheat Sheet diff --git a/Deep Learning/A Selective Overview of Deep Learning.pdf b/Deep Learning/A Selective Overview of Deep Learning.pdf new file mode 100644 index 00000000..18a5c343 Binary files /dev/null and b/Deep Learning/A Selective Overview of Deep Learning.pdf differ diff --git a/Deep Learning/Coursera Deep Learning course Notes.pdf b/Deep 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/dev/null and b/Deep Learning/nli_tutorial.pdf differ diff --git a/DevOps/Ansible-Cheat_Sheet_Edureka.png b/DevOps/Ansible-Cheat_Sheet_Edureka.png new file mode 100644 index 00000000..814d083a Binary files /dev/null and b/DevOps/Ansible-Cheat_Sheet_Edureka.png differ diff --git a/DevOps/DevOps.pdf b/DevOps/DevOps.pdf new file mode 100644 index 00000000..abd87eef Binary files /dev/null and b/DevOps/DevOps.pdf differ diff --git a/DevOps/Docker Cheat Sheet.pdf b/DevOps/Docker Cheat Sheet.pdf new file mode 100644 index 00000000..0816a61e Binary files /dev/null and b/DevOps/Docker Cheat Sheet.pdf differ diff --git a/DevOps/README.md b/DevOps/README.md new file mode 100644 index 00000000..8478cc49 --- /dev/null +++ b/DevOps/README.md @@ -0,0 +1 @@ +# DevOps Cheat Sheet diff --git a/DevOps/docker CLI & Dockerfile Cheat Sheet.pdf b/DevOps/docker CLI & Dockerfile Cheat Sheet.pdf new file mode 100644 index 00000000..6795487e Binary files /dev/null and b/DevOps/docker CLI & Dockerfile Cheat Sheet.pdf differ diff --git a/DevOps/docker_cheat sheet.pdf b/DevOps/docker_cheat sheet.pdf new file mode 100644 index 00000000..6795487e Binary files /dev/null and b/DevOps/docker_cheat sheet.pdf differ diff --git a/DevOps/kubernetes.pdf b/DevOps/kubernetes.pdf new file mode 100644 index 00000000..a6e95ad1 Binary files /dev/null and b/DevOps/kubernetes.pdf differ diff --git a/DevOps/periodic-table-of-devops-tools-v3.pdf b/DevOps/periodic-table-of-devops-tools-v3.pdf new file mode 100644 index 00000000..633c7988 Binary files /dev/null and b/DevOps/periodic-table-of-devops-tools-v3.pdf differ diff --git a/Docker & Kubernetes/Kubectl-Commands-Cheat-Sheet.png b/Docker & Kubernetes/Kubectl-Commands-Cheat-Sheet.png new file mode 100644 index 00000000..c76383bf Binary files /dev/null and b/Docker & Kubernetes/Kubectl-Commands-Cheat-Sheet.png differ diff --git a/Docker & Kubernetes/README.md b/Docker & Kubernetes/README.md new file mode 100644 index 00000000..d0ed04a2 --- /dev/null +++ b/Docker & Kubernetes/README.md @@ -0,0 +1 @@ +# Docker & Kubernetes Cheat Sheet diff --git a/Docker & Kubernetes/docker-cheat-sheet.png b/Docker & Kubernetes/docker-cheat-sheet.png new file mode 100644 index 00000000..b52b00bb Binary files /dev/null and b/Docker & Kubernetes/docker-cheat-sheet.png differ diff --git a/Docker & Kubernetes/kubectl_cheat_sheet.jpg b/Docker & Kubernetes/kubectl_cheat_sheet.jpg new file mode 100644 index 00000000..3abcf0fc Binary files /dev/null and b/Docker & Kubernetes/kubectl_cheat_sheet.jpg differ diff --git a/Excel/README.md b/Excel/README.md new file mode 100644 index 00000000..f2af373a --- /dev/null +++ b/Excel/README.md @@ -0,0 +1 @@ +# Excel Cheat Sheet diff --git a/Git/GitNotesForProfessionals.pdf b/Git/GitNotesForProfessionals.pdf new file mode 100644 index 00000000..5b64084d Binary files /dev/null and b/Git/GitNotesForProfessionals.pdf differ diff --git a/Git/README.md b/Git/README.md new file mode 100644 index 00000000..cf8178aa --- /dev/null +++ b/Git/README.md @@ -0,0 +1,2 @@ +# Git Cheat Sheet + diff --git a/Git/atlassian-git-cheatsheet.pdf b/Git/atlassian-git-cheatsheet.pdf new file mode 100644 index 00000000..4f629b26 Binary files /dev/null and b/Git/atlassian-git-cheatsheet.pdf differ diff --git a/Git/git-cheat-sheet.pdf b/Git/git-cheat-sheet.pdf new file mode 100644 index 00000000..e3e34ee6 Binary files /dev/null and b/Git/git-cheat-sheet.pdf differ diff --git a/Git/git_cheat_sheet.pdf b/Git/git_cheat_sheet.pdf new file mode 100644 index 00000000..fde35181 Binary files /dev/null and b/Git/git_cheat_sheet.pdf differ diff --git a/Images/100_numpy.PNG b/Images/100_numpy.PNG new file mode 100644 index 00000000..801bf006 Binary files /dev/null and b/Images/100_numpy.PNG differ diff --git a/Images/101_numpy_exercises.jpg b/Images/101_numpy_exercises.jpg new file mode 100644 index 00000000..726a0f71 Binary files /dev/null and b/Images/101_numpy_exercises.jpg differ diff --git a/Images/DA_Pandas.PNG b/Images/DA_Pandas.PNG 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a/Mathematics/LinearAlgebra.pdf b/Mathematics/LinearAlgebra.pdf new file mode 100644 index 00000000..f2f77a33 Binary files /dev/null and b/Mathematics/LinearAlgebra.pdf differ diff --git a/Mathematics/READMe.md b/Mathematics/READMe.md new file mode 100644 index 00000000..4a861291 --- /dev/null +++ b/Mathematics/READMe.md @@ -0,0 +1 @@ +# Mathematics Cheat Sheet diff --git a/Mathematics/all_in_one_cheat_sheet_v2.6_web.pdf b/Mathematics/all_in_one_cheat_sheet_v2.6_web.pdf new file mode 100644 index 00000000..f59714cf Binary files /dev/null and b/Mathematics/all_in_one_cheat_sheet_v2.6_web.pdf differ diff --git a/Mathematics/vmls-slides.pdf b/Mathematics/vmls-slides.pdf new file mode 100644 index 00000000..4af7e344 Binary files /dev/null and b/Mathematics/vmls-slides.pdf differ diff --git a/Matlab/README.md b/Matlab/README.md new file mode 100644 index 00000000..6ef3e6e7 --- /dev/null +++ b/Matlab/README.md @@ -0,0 +1 @@ +# Matlab Cheat Sheet diff --git a/Matlab/matlab_guide.pdf b/Matlab/matlab_guide.pdf new file mode 100644 index 00000000..3578e2a8 Binary files /dev/null and b/Matlab/matlab_guide.pdf differ diff --git "a/NLP/A Practitioner's Guide to Natural Language Processing (Part I) \342\200\224 Processing & Understanding Text.pdf" "b/NLP/A Practitioner's Guide to Natural Language Processing (Part I) \342\200\224 Processing & Understanding Text.pdf" new file mode 100644 index 00000000..8b4f3d7b Binary files /dev/null and "b/NLP/A Practitioner's Guide to Natural Language Processing (Part I) \342\200\224 Processing & Understanding Text.pdf" differ diff --git a/NLP/Gentle Start to Natural Language Processing using Python.pdf b/NLP/Gentle Start to Natural Language Processing using Python.pdf new file mode 100644 index 00000000..ffb60a99 Binary files /dev/null and b/NLP/Gentle Start to Natural Language Processing using Python.pdf differ diff --git a/NLP/How to solve 90% of NLP problems_ a step-by-step guide.pdf b/NLP/How to solve 90% of NLP problems_ a step-by-step guide.pdf new file mode 100644 index 00000000..569c47bd Binary files /dev/null and b/NLP/How to solve 90% of NLP problems_ a step-by-step guide.pdf differ diff --git a/NLP/Machine Learning, NLP_ Text Classification using scikit-learn, python and NLTK_.pdf b/NLP/Machine Learning, NLP_ Text Classification using scikit-learn, python and NLTK_.pdf new file mode 100644 index 00000000..2798a19f Binary files /dev/null and b/NLP/Machine Learning, NLP_ Text Classification using scikit-learn, python and NLTK_.pdf differ diff --git a/NLP/NLP.pdf b/NLP/NLP.pdf new file mode 100644 index 00000000..c30072c7 Binary files /dev/null and b/NLP/NLP.pdf differ diff --git a/NLP/Natural Language Processing is Fun! - Adam Geitgey - Medium.pdf b/NLP/Natural Language Processing is Fun! - Adam Geitgey - Medium.pdf new file mode 100644 index 00000000..606a9a2b Binary files /dev/null and b/NLP/Natural Language Processing is Fun! - Adam Geitgey - Medium.pdf differ diff --git a/NLP/README.md b/NLP/README.md new file mode 100644 index 00000000..ca52111b --- /dev/null +++ b/NLP/README.md @@ -0,0 +1 @@ +# Natural Language Processing Cheat Sheet diff --git a/NLP/Speech and Language Processing.pdf b/NLP/Speech and Language Processing.pdf new file mode 100644 index 00000000..0c04a480 Binary files /dev/null and b/NLP/Speech and Language Processing.pdf differ diff --git a/NLP/desktop.ini b/NLP/desktop.ini new file mode 100644 index 00000000..e09b281f --- /dev/null +++ b/NLP/desktop.ini @@ -0,0 +1,6 @@ +[LocalizedFileNames] +Natural Language Processing is Fun! - Adam Geitgey - Medium.pdf=@Natural Language Processing is Fun! - Adam Geitgey - Medium.pdf,0 +Machine Learning, NLP_ Text Classification using scikit-learn, python and NLTK_.pdf=@Machine Learning, NLP_ Text Classification using scikit-learn, python and NLTK_.pdf,0 +How to solve 90% of NLP problems_ a step-by-step guide.pdf=@How to solve 90% of NLP problems_ a step-by-step guide.pdf,0 +A Practitioner's Guide to Natural Language Processing (Part I) — Processing & Understanding Text.pdf=@A Practitioner's Guide to Natural Language Processing (Part I) — Processing & Understanding Text.pdf,0 +Gentle Start to Natural Language Processing using Python.pdf=@Gentle Start to Natural Language Processing using Python.pdf,0 diff --git a/NLP/natural_language_processing_tutorial.pdf b/NLP/natural_language_processing_tutorial.pdf new file mode 100644 index 00000000..c026cbe1 Binary files /dev/null and b/NLP/natural_language_processing_tutorial.pdf differ diff --git a/Numpy/100_numpy_exercises.pdf b/Numpy/100_numpy_exercises.pdf new file mode 100644 index 00000000..ff95006e Binary files /dev/null and b/Numpy/100_numpy_exercises.pdf differ diff --git a/Numpy/NumPy Tutorial - A Complete Step-by-Step Guide with clear Examples.pdf b/Numpy/NumPy Tutorial - A Complete Step-by-Step Guide with clear Examples.pdf new file mode 100644 index 00000000..a90c7cff Binary files /dev/null and b/Numpy/NumPy Tutorial - A Complete 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Analysis.pdf,0 diff --git a/Numpy/numpy_cheat_sheet.pdf b/Numpy/numpy_cheat_sheet.pdf new file mode 100644 index 00000000..daece7c2 Binary files /dev/null and b/Numpy/numpy_cheat_sheet.pdf differ diff --git a/Ordinary Differential Equations/README.md b/Ordinary Differential Equations/README.md new file mode 100644 index 00000000..2b98f00b --- /dev/null +++ b/Ordinary Differential Equations/README.md @@ -0,0 +1 @@ +# Ordinary Differential Equations Cheat Sheet diff --git a/Pandas/10 Python Pandas tricks that make your work more efficient.pdf b/Pandas/10 Python Pandas tricks that make your work more efficient.pdf new file mode 100644 index 00000000..5840be32 Binary files /dev/null and b/Pandas/10 Python Pandas tricks that make your work more efficient.pdf differ diff --git a/Pandas/10 Python Pandas tricks to make data analysis more enjoyable.pdf b/Pandas/10 Python Pandas tricks to make data analysis more enjoyable.pdf new file mode 100644 index 00000000..49f956a5 Binary files /dev/null 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files /dev/null and b/Pandas/Reading and Writing data with PANDAS.pdf differ diff --git a/Pandas/Step by Step Guide to Data Cleaning with Python.pdf b/Pandas/Step by Step Guide to Data Cleaning with Python.pdf new file mode 100644 index 00000000..8152c7c8 Binary files /dev/null and b/Pandas/Step by Step Guide to Data Cleaning with Python.pdf differ diff --git a/Pandas/desktop.ini b/Pandas/desktop.ini new file mode 100644 index 00000000..79e03fdc --- /dev/null +++ b/Pandas/desktop.ini @@ -0,0 +1,5 @@ +[LocalizedFileNames] +pandas-10min.pdf=@pandas-10min.pdf,0 +Reading and Writing data with PANDAS.pdf=@Reading and Writing data with PANDAS.pdf,0 +pandas_cheat_sheet.pdf=@pandas_cheat_sheet.pdf,0 +Step by Step Guide to Data Cleaning with Python.pdf=@Step by Step Guide to Data Cleaning with Python.pdf,0 diff --git a/Pandas/pandas-10min.pdf b/Pandas/pandas-10min.pdf new file mode 100644 index 00000000..79aba6dd Binary files /dev/null and b/Pandas/pandas-10min.pdf differ diff --git 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twocolumn]{article} + +\usepackage[utf8]{inputenc} +\usepackage{graphicx} +\usepackage{amsmath} +\usepackage[a4paper, total={7in, 9in}]{geometry} + + +\title{Probability Cheatsheet} +\author{Yahya~Almardeny\\almardeny@gmail.com} +\date{June 2019} + +\begin{document} +\begin{titlepage} +\maketitle +\end{titlepage} + +\section{Overview} +Probability provides measures for reasoning the likelihood that an event will occur in an experiment. +\section{Terminology} +\begin{enumerate} +\item \textbf{Experiment}: Procedure that yields one of the possible outcomes. E.g. Tossing a coin. +\item \textbf{Sample Space S}: A set of all possible outcomes of an experiment. E.g. S = \{Head, Tail\} when tossing a fair coin. +\item \textbf{Event E}: Set of outcomes of an experiment. Note that if the Event contains only one outcome, it is then called an elementary event. E.g. The event that coin is Head. +\end{enumerate} +\section{Random Variable R.V} +A variable that its possible values are the outcomes of an experiment. It has two types: +\begin{enumerate} +\item \textbf{Discrete R.V}: Take one countable number of distinct values. E.g 1, 2, 3, 4 +\item \textbf{Continuous R.V}: Take infinite number of possible values (usually measurements). E.g. all interval values in the range [1 - 2]. +\end{enumerate} + +\section{Probability of Events} +\begin{enumerate} +\item \textbf{Marginal probability}: Simply $P(A)$ which means "unconditional probability". And for each outcome $s$, it should satisfy: $ 0 \leq P(s) \leq 1$ and $\Sigma P(s_i) = 1$. +\item \textbf{Addition Rule}: $P(A \cup B) = P(A) + P(B) - P(A \cap B)$ where $\cup$ means OR, $\cap$ means AND. +\item \textbf{Joint (Compound) Probability Rule}: + \begin{enumerate} + \item Independent Events: $P(A \cap B) = P(A) \times P(B)$. + \item Dependent Events: $P(A \cap B) = P(A) \times P(B | A)$. where $P(B | A)$ read: Probability of B given A had happened. + \end{enumerate} +\item \textbf{Conditional Probability}: $P(A | B) = \frac{P(A \cap B)}{P(B)}$ +\item \textbf{Bayes Theorem}: $P(A | B) = \frac{P(B | A) \times P(A)}{P(B)}$. It gives the probability of A based on prior knowledge of B. +\end{enumerate} + +\section{Probability Distributions} +\begin{enumerate} +\item \textbf{Probability Mass Function (PMF)}: Gives the probability a \textit{discrete} R.V $X$ takes on the value $x$: $P( X = x)$. +\begin{figure}[h!] + \centering + \includegraphics[width=0.7\linewidth]{figs/PMF.png} +\end{figure} +\item \textbf{Probability Density Function (PDF)}: Gives the probability a \textit{continuous} R.V $X$ takes on the value $x$: $P( X = x)$ which means how dense the probability of $X$ near $x$, and it will be the definite Integrals between two points. +\begin{figure}[h!] + \centering + \includegraphics[width=0.6\linewidth]{figs/PDF.png} +\end{figure} +\item \textbf{Cumulative Density Function (CDF)}: Gives the probability a R.V $X$ is less than or equals the value $x$: $P( X \leq x)$. It is cumulative because it adds the probabilities up to $x$. + \begin{enumerate} + \item For Discrete R.V: It is the summation of previous probabilities $\Sigma p(x_i)$. + \item For Continuous R.V: It is the integral $\int_{-\infty}^{x} p(x) dx$ + \end{enumerate} +\end{enumerate} + +\section{Expected Value of R.V} +Intuitively, it is the long-run average value of repetitions of the same experiment it represents (i.e. what outcome to expect on long run) +\begin{enumerate} +\item \textbf{For a Discrete R.V}: It is the average of R.V values based on their associated probabilities $E(X) = \Sigma (x_i \times p(x_i))$. +\item \textbf{For a Continuous R.V}: $E(X) = \int_{-\infty}^{\infty} x f(x) dx$ where $f(x)$ is probability density function. +\end{enumerate} + +\section{Combining Random Variables} +If we have two independent random variables $X$ and $Y$, we can add or subtract to get the total or the difference of their means (expected values) and variances: +$T = X \pm Y \Rightarrow \mu_T = \mu_X \pm \mu_Y ~~ and ~~ \sigma_T^2 = \sigma_X^2 \pm \sigma_Y^2$. + +\section{The Law of Large Numbers} +Let $X$ be R.V of a population where its expected value (i.e Mean) is $E(X)$. Let $\overline{X_n} = \frac{x_1 + x_2 + ... x_n}{n}$ be the mean of $n$ samples $\in X$. As $n \to \infty$ : $\overline{X_n} \to E(X)$. Which means as we do more experiments, the outcomes become closer and closer to the outcomes of the probability theory. + +\section{Statistical Distributions}\footnote{Included because it is related directly to probability} +\begin{enumerate} +\item \textbf{Binomial Distribution}: How many success in finite number of trials: + \begin{itemize} + \item Made up of \textit{independent} trials. + \item Each trial has one of two \textit{discrete} outcomes (success or failure). + \item \textit{Fixed} number of trials + \item Probability of success in each trial is \textit{constant}. + \item E.g. X = number of heads after 10 flips of a coin. + \item \textit{10\% Rule}: We assume independence if the sample $\leq$ 10\% of the population. + \item PMF: $P(X = x) = (_{n}^{k}) p^x (1 - p)^{n-x}$ which means the probability of $k$ successes in $n$ trials. + \item $E(X) = \mu_X = n . p$ where $p$ is the probability of success per trial. + \item $\sigma_X = \sqrt{var(X)} = \sqrt{n . p (1 - p)}$. + \item The more trials we do, the more Binomial becomes Normal distribution. + \end{itemize} + +\item \textbf{Bernoulli Distribution}: Simply a Binomial Distribution with just \textit{one} trial. +\item \textbf{Geometric Distribution}: How many trials until success?. It is similar to Binomial dist. but here we do not have fixed number of trials because we do not know ahead how many trials until we get the desired outcome: + \begin{itemize} + \item PMF: $P(X = x) = (1 - p)^{k - 1} p$. + \item $E(X) = \mu_X = \frac{1}{p}$. + \item $\sigma_X = \sqrt{var(X)} = \sqrt{\frac{1 - p}{p^2}}$. + \end{itemize} + +\item \textbf{Hypergeometric Distribution}: It is a \textit{discrete} probability distribution that describes the probability of $k$ successes in $n$ draws, \textit{without} replacement, from a finite population of size $N$ that contains exactly $K$ objects. In contrast, the binomial distribution describes the probability of $k$ successes in $n$ draws \textit{with} replacement. + +\item \textbf{Poisson Distribution}: It is a \textit{discrete} probability distribution that predicts \textit{rare} events that are independent of one another and occur with a known constant rate $\lambda$. It is usually used instead of Binomial dist. if the number of trials is very high (fixed interval of time) and the probability (occurrence) of each is relatively low: + \begin{itemize} + \item PMF: $P\left( x \right) = \frac{{\lambda ^x }}{{x!}} e^{ - \lambda } $. + \item Mean is $E(X) = \lambda$. and Variance is $\lambda$. + \end{itemize} + +\item \textbf{Normal Distribution (a.k.a Gaussian)}: It is a \textit{continuous} probability distribution that has the notation $X \sim \mathcal{N}(\mu,\,\sigma^{2})$. It is symmetric and has a bell shape where most of the values are near to the mean and follows the 68–95–99.7 rule (a.k.a empirical rule). This rule states that 68.27\%, 95.45\% and 99.73\% of the values lie within one, two and three standard deviations of the mean, respectively: + \begin{itemize} + \item PDF: $P(x) = \frac{1}{{\sigma \sqrt {2\pi } }}e^{{{ - \left( {x - \mu } \right)^2 } \mathord{\left/ {\vphantom {{ - \left( {x - \mu } \right)^2 } {2\sigma ^2 }}} \right. \kern-\nulldelimiterspace} {2\sigma ^2 }}}$. + \item Mean is $E(X) = \mu_X$. and Variance is $\sigma_X^2$. + \end{itemize} + +\item \textbf{Log-Normal Distribution}: It is a \textit{continuous} probability distribution of a random variable whose \textit{logarithm is normally distributed}.Because the values in a log-normal distribution are positive, they create a right-skewed curve which is important in determining which distribution is appropriate to use in investment decision-making. One of the most common applications of log-normal distributions is in the analysis of stock prices. A log-normal distribution can be translated to a normal distribution and vice versa using associated logarithmic calculations. + +\item \textbf{Uniform Distribution}: It is a probability distribution that has \textit{constant} probability. + \begin{enumerate} + \item \textit{Discrete Uniform Dist.}: It takes one of a finite $n$ possible values: + \begin{itemize} + \item PMF: $P(X = x) = \frac{1}{n}$ + \item $E(X) = \mu_X = \frac{(a + b)}{2}$ + \item $\sigma_X^2 =\frac{(b - a + 1)^2 ~ - 1 }{12}$ + \end{itemize} + + \item \textit{Continuous Uniform Dist.}: It takes values within a specified range $a$ to $b$: + \begin{itemize} + \item PDF: + \begin{align*} + P(X = x) = \begin{cases} \frac{1}{b-a}~ if ~ x \in [a , b]\\ 0 ~ otherwise \end{cases} + \end{align*} + \item $E(X) = \mu_X = \frac{1}{2} (a+b)$ + \item $\sigma_X^2 =\frac{1}{12} (b - a)^2 $ + \end{itemize} + + \end{enumerate} + +\item \textbf{Gamma Distribution}: It is a family of a \textit{continuous}, \textit{positive-only}, \textit{unimodal} distributions that encode the time required for $alpha$ events to occur in a Poisson process with mean arrival time of $beta$. These distributions are useful in real-life where something has a natural minimum of $0$. For example, it is commonly used in finance, for elapsed times, or during Poisson processes. In other words, it is a generalization of both the exponential and chi-squared distributions. + +\item \textbf{Exponential Distribution}: Special case of Gamma Distribution. It is a \textit{continuous} analogue of the geometric distribution and often used to model the time elapsed between events. Formally, it is the probability distribution of the time between events in a process where events occur continuously and independently at a \textit{constant} average rate (i.e. Poisson process): + \begin{itemize} + \item PDF: $P(X = x) = {\lambda e}^{-\lambda x}$ + \item $E(X) = \mu_X = \lambda^{-1} = \beta$ + \item $\sigma_X^2 =\lambda^{-2} = \beta^2$ + \end{itemize} + +\item \textbf{Chi-Square Distribution}: It is a special case of the Gamma distribution. It is a \textit{continuous} distribution of a sum of the squares of $k$ independent standard normal deviates (where $k$ is known as degree of freedom). A standard normal deviate is a \textit{random sample} from the standard normal distribution. + \begin{itemize} + \item PDF: $P(X = x) = {\frac{1}{2^{\frac{k}{2}}\Gamma( \frac{K}{2})}}^{x^{\frac{k}{2}-1}~e^{\frac{-x}{2}}}$ where $\Gamma$ is the gamma function + \item $E(X) = \mu_X = k$ + \item $\sigma_X^2 = 2k$ + \end{itemize} + +\item \textbf{Student's t-Distribution}: It is a probability distribution used to estimate population parameters when the sample size is small and standard deviation is unknown. It is mainly used by applying Student's t-test for assessing the statistical significance of the difference between two sample means, and in linear regression analysis. + \begin{itemize} + \item PDF: $$ \frac{\Gamma (\frac{\nu+1}{2})}{\sqrt{\nu \pi} \Gamma (\frac{\nu}{2})} (1 + \frac{x^2}{\nu})^{-\frac{\nu+1}{2}} +$$ where $\nu$ is the number of degrees of freedom and $\Gamma$ is the gamma function. + \item $E(X) = \mu_X = 0 ~ for ~ \nu > 1,$ otherwise undefined. + \item $\sigma_X^2 = \frac{\nu }{\nu -2} ~for~ \nu >2, ~\infty ~for~ 1 < \nu \le 2,$ otherwise undefined. + \end{itemize} +\end{enumerate} + +\end{document} + + + + + + diff --git a/Probability/Beginner_Probability_Cheatsheet_Based_On_Khan_Academy_Vids/figs/PDF.png b/Probability/Beginner_Probability_Cheatsheet_Based_On_Khan_Academy_Vids/figs/PDF.png new file mode 100644 index 00000000..15186889 Binary files /dev/null and b/Probability/Beginner_Probability_Cheatsheet_Based_On_Khan_Academy_Vids/figs/PDF.png differ diff --git a/Probability/Beginner_Probability_Cheatsheet_Based_On_Khan_Academy_Vids/figs/PMF.png b/Probability/Beginner_Probability_Cheatsheet_Based_On_Khan_Academy_Vids/figs/PMF.png new file mode 100644 index 00000000..43d05586 Binary files /dev/null and b/Probability/Beginner_Probability_Cheatsheet_Based_On_Khan_Academy_Vids/figs/PMF.png differ diff --git a/Probability/README.md b/Probability/README.md new file mode 100644 index 00000000..d1bacff7 --- /dev/null +++ b/Probability/README.md @@ -0,0 +1 @@ +# Probability Cheat Sheet diff --git a/Probability and Statistics/cheatsheet-probability.pdf b/Probability/cheatsheet-probability.pdf similarity index 100% rename from Probability and Statistics/cheatsheet-probability.pdf rename to Probability/cheatsheet-probability.pdf diff --git a/Probability and Statistics/probability_cheatsheet.pdf b/Probability/probability_cheatsheet.pdf similarity index 100% rename from Probability and Statistics/probability_cheatsheet.pdf rename to Probability/probability_cheatsheet.pdf diff --git a/Python/A guide to Face Detection in Python - 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+Taken from Link to original GitHub page +

+ +# Data Science Cheatsheets + +List of Data Science Cheatsheets : + +## Table of Contents +- [Artificial Intelligence](Artificial%20Intelligence/README.md) +- [Big Data](Big%20Data/README.md) +- [Data Engineering](Data%20Engineering/README.md) +- [Data Mining](Data%20Mining/README.md) +- [Data Science](Data%20Science/README.md) +- [Data Visualization](Data%20Visualization/README.md) +- [Data Warehouse](Data%20Warehouse/README.md) +- [Deep Learning](Deep%20Learning/README.md) +- [DevOps](DevOps/README.md) +- [Docker & Kubernetes](Docker%20&%20Kubernetes/README.md) +- [Excel](Excel/README.md) +- [Git](Git/README.md) +- [Images](Images//README.md) +- [Interview Questions](Interview%20Questions/README.md) +- [Linux](Linux/README.md) +- [Machine Learning](https://github.com/abhat222/Data-Science--Cheat-Sheet#machine-learning) +- [Mathematics](Mathematics/README.md) +- [Matlab](Matlab/README.md) +- [NLP](NLP/README.md) +- [Numpy](Numpy/README.md) +- [Ordinary Differential Equations](Ordinary%20Differential%20Equations/README.md) +- [Pandas](Pandas/README.md) +- [Probability](Probability/README.md) +- [Python](Python/README.md) +- [Scala](Scala/README.md) +- [SQL](SQL/README.md) +- [Statistics](Statistics/README.md) + +# Python + +Illustration      Illustration                                   Python Cheat Sheet                                                                 Spacy Cheat Sheet
+ + +Illustration      Illustration                                   Data Analysis with Pandas                                              Pandas (Reading and Writing Data)
+ + +Illustration      Illustration                                   Python for Data Science                                                                  100 Numpy Exercises
+ + +Illustration      Illustration                             Python for Data Analysis                                                              10 Minutes to Pandas
+ + + +# R Language + +Illustration      Illustration                                   R Cheat Sheet                                                                    R (Basics & Advanced)
+ + +# Machine Learning + +Illustration       Illustration                                   R Cheat Sheet                                                                    Machine Learning
+ + +# Deep Learning + +Illustration       Illustration                                   R Cheat Sheet                                                                    Machine Learning
diff --git a/SQL/README.md b/SQL/README.md new file mode 100644 index 00000000..9d9dbe55 --- /dev/null +++ b/SQL/README.md @@ -0,0 +1 @@ +# SQL Cheat Sheet diff --git a/SQL/SQL for DS.pdf b/SQL/SQL for DS.pdf new file mode 100644 index 00000000..aa900c46 Binary files /dev/null and b/SQL/SQL for DS.pdf differ diff --git a/SQL/SQL-cheat-sheet.pdf b/SQL/SQL-cheat-sheet.pdf new file mode 100644 index 00000000..c55ac2a0 Binary files /dev/null and b/SQL/SQL-cheat-sheet.pdf differ diff --git a/SQL/SQL.pdf b/SQL/SQL.pdf new file mode 100644 index 00000000..42e7315b Binary files /dev/null and b/SQL/SQL.pdf differ diff --git a/Scala/README.md b/Scala/README.md new file mode 100644 index 00000000..3e4e672a --- /dev/null +++ b/Scala/README.md @@ -0,0 +1 @@ +# Scala Cheat Sheet diff --git a/Scala/ScalaByExample.pdf b/Scala/ScalaByExample.pdf new file mode 100644 index 00000000..8b030703 Binary files /dev/null and b/Scala/ScalaByExample.pdf differ diff --git a/Scala/scala-quick-reference.pdf b/Scala/scala-quick-reference.pdf new file mode 100644 index 00000000..c3b25a4f Binary files /dev/null and b/Scala/scala-quick-reference.pdf differ diff --git a/Statistics/README.md b/Statistics/README.md new file mode 100644 index 00000000..c6a54041 --- /dev/null +++ b/Statistics/README.md @@ -0,0 +1 @@ +# Statistics Cheat Sheet diff --git a/Statistics/Statistics Cheat Sheet.pdf b/Statistics/Statistics Cheat Sheet.pdf new file mode 100644 index 00000000..26ae9d14 Binary files /dev/null and b/Statistics/Statistics Cheat Sheet.pdf differ diff --git a/Probability and Statistics/cheatsheet-statistics.pdf b/Statistics/cheatsheet-statistics.pdf similarity index 100% rename from Probability and Statistics/cheatsheet-statistics.pdf rename to Statistics/cheatsheet-statistics.pdf