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List of Data Science Cheatsheets to rule the world
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| .github/ISSUE_TEMPLATE | ||
| Big_Data | ||
| Business_Science | ||
| Data_Visualization | ||
| Deep_Learning | ||
| General | ||
| Machine_Learning | ||
| Math_Calculus | ||
| Python | ||
| R | ||
| SQL | ||
| .gitignore | ||
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| LICENSE | ||
| README.md | ||
Data Science Cheatsheets
List of Data Science Cheatsheets to rule the world.
Table of Contents
-
- Tidiverse
- data.table
- xts
- Base R
- Data Import with readr
- Data Transformation with Dplyr
- Apply Functions with purrr
- Data transformation with data.table
- Dates and Times with lubridate
- Randomizr
- Regular Expressions
- Work with Strings with stringr
- Tidy Evaluation with rlang
- Xplain
- Sintax Comparison
- Data and Variable Transformation with sjmisc
- R Markdown (PDF)
- Package Development with devtools
Business Science
Business Science Problem Framework (PDF)
Data Science with Python Workflow (PDF)
Data Science with R Workflow (PDF)
Python
Datacamp
Python Crash Course
Dataquest
Others
R
Datacamp
RStudio
Math and Calculus
From @afshinea, @stat110 and @wzchen:
Big Data
Python
R
Machine Learning
Python
R
Supervised Learning
From @afshinea:
Unsupervised Learning
From @afshinea:
Hacks, tricks and tips
From @afshinea:
Choosing the right model
Deep Learning
Neural Nets
R
Python
From @afshinea:
SQL
Data Visualization
Python
- Comprehensive Guide to Data Visualization in Python
R
Data Science in General and Others
By @ml874






















































































































