FavioVazquez / ds-cheatsheets
List of Data Science Cheatsheets to rule the world
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Crawler viewData Science Cheatsheets List of Data Science Cheatsheets to rule the world. Table of Contents • Business Science • Business Science Problem Framework • Data Science with Python Workflow • Data Science with R Workflow • Python • Python Basics • Pandas Basics • Pandas • Importing Data • Jupyter • Numpy Basics • Beginners Python Cheat Sheet • Intermediate Python • Python REGEX • Python 3 Memento • R • 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 • Math and Calculus • Refresher Algebra and Calculus • Refresher Probabilities and Statistics • Fundamentals of Probabilities • Big Data • Pyspark RDD • Pyspark DF • Dask • Sparklyr • Machine Learning • Scitk-Learn (PDF) • Machine Learning Modelling in R • Caret • Estimatr • H2O • mlr • Regression • VIP Supervised Learning • Segmentation and Clustering • VIP Unsupervised Learning • VIP Machine Learning Tips and Tricks • Choosing the right model • Deep Learning -Neural Nets • Keras RStudio • Keras • Deep Learning Basics • Convolutional Neural Networkds • Recurrent Neural Networks • Tips and Tricks • SQL • SQL cheatsheet by sqltutorial (PDF) • SQL cheatsheet by Rebel Labs • Data Visualization • Matplotlib • Seaborn • Bokeh • Comprehensive Guide to Data Visualization in Python • Ggplot2 • Leaflet • Cartography • Comprehensive Guide to Data Visualization in R • Simple Features sf • survminer • Data Science in General and Others • Shiny • Vim • Emacs • Git - Atlassian's Cheatsheet • DVC • BASH • Data Science Cheatsheet Takeaway ---------------------------------------- Business Science Business Science Problem Framework (PDF) Data Science with Python Workflow (PDF) Data Science with R Workflow (PDF) Python Datacamp • Python Basics (PDF) • Pandas Basics (PDF) • Pandas (PDF) • Importing Data (PDF) • Jupyter (PDF) • Numpy Basics (PDF) Python Crash Course • Beginners Python Cheat Sheet (Long PDF) Dataquest • Intermediate Python (PDF) • Python REGEX (PDF) Others • Python 3 Memento (PDF) R Datacamp • Tidiverse (PDF) • data.table (PDF) -xts (PDF) RStudio • R Studio IDE (PDF) • Base R (PDF) • Data Import with readr (PDF) • Data Transformation with Dplyr (PDF) • Apply Functions with purrr (PDF) • Data transformation with data.table (PDF) • Dates and Times with lubridate (PDF) • Randomizr (PDF) • Regular Expressions (PDF) • Work with Strings with stringr (PDF) • Tidy Evaluation with rlang (PDF) • Xplain (PDF) • Sintax Comparison (PDF) • Data and Variable Transformation with sjmisc (PDF) • R Markdown (PDF) • Package Development with devtools (PDF) Math and Calculus From @afshinea, @stat110 and @wzchen: • Refresher Algebra and Calculus (PDF) • Refresher Probabilities and Statistics (PDF) • Fundamentals of Probabilities (PDF) Big Data Python • Pyspark RDD (PDF) • Pyspark DF (PDF) • Dask (PDF) _...truncated for preview_