With the rapid expansion of data science and supporting technologies it can become difficult to keep up with all new developments. There is always some new library for data analysis and machine learning for R or Python. This is where cheat sheets can be a useful tool to save you time and frustration. Below you are going to find some of the best cheat sheets I’ve found across the internet. The cheat sheets are by no means exhaustive, by they still cover many topics, such as the data.table library in R, scikit-learn and R markdown.
Obviously, using cheat sheets without properly understanding the methods can be a bit dangerous, as you might reach conclusions with a false sense of confidence. Therefore, it is always important to keep on educating yourself and broaden your understanding as much as possible. If you are an aspiring data scientist or practitioner you can check out some of my courses. If you are a interested in data science, but you are not going to apply it yourself, then you should check my The Tesseract Academy, which provides workshops and executive training on deep technical topics (such as AI, data science, machine learning and blockchain) for non-technical decision makers.
DATA ANALYSIS Cheat sheets for R
- R functions for Regression Analysis
- R Reference Card
- R functions for Time series Analysis
- R Reference Card for Data Mining
- R Cheat Sheet
- Data Analysis the data.table way
- Interactive Web Apps cheatsheet by R studio
- Data Visualisation with ggplot2 cheatsheet by R studio
- Data Wrangling cheatsheet
- R markdown cheatsheet
Cheat sheets for Machine Learning
- Choosing the right estimator Machine Learning cheatsheet
- Patterns for Predictive learning cheatsheet
- Machine learning algorithm cheat sheet for Microsoft Azure
- Machine Learning cheatsheet Github 1
- Machine Learning cheatsheet Github 2
- Machine Learning which algorithm performs best?
- Patterns for Predictive Analytics
If you are interested to know more about how data science can be used in your business, make sure to check out my book The Decision Maker's Handbook to Data Science. Also, make sure to check out my courses, as well as my webinars:
