Data Science is an ever-growing field, there are numerous tools & techniques to remember. It is not possible for anyone to remember all the functions, operations and formulas of each concept. That’s why we have cheat sheets. But there are a plethora of cheat sheets available out there, choosing the right cheat sheet is a tough task. So, I decided to write this article.
Data Science cheat sheets for Algebra, Calculus, Probability, Statistics, Python, R, Machine Learning, Neural Networks, Numpy, Pandas
Algebra
The following has 2 pages. Click on the image to get the full cheat sheet.
Source: http://tutorial.math.lamar.edu/getfile.aspx?file=B,31,N
Linear Algebra
The following has 4 pages. Click on the image to get the full cheat sheet.
Source: https://minireference.com/static/tutorials/linear_algebra_in_4_pages.pdf
Calculus
The following has 4 pages. Click on the image to get the full cheat sheet.
Source: http://tutorial.math.lamar.edu/getfile.aspx?file=B,41,N
Probability
The following has 10 pages. Click on the image to get the full cheat sheet.
Source: http://www.wzchen.com/s/probability_cheatsheet.pdf
Statistics
The following has 4 pages. Click on the image to get the full cheat sheet.
Source: http://www.mathcentre.ac.uk/resources/uploaded/43799-prob-stats-ff-for-web.pdf
Python
Source: http://datasciencefree.com
Source: https://www.datacamp.com
R
Source: http://datasciencefree.com/
Machine Learning
Azure Machine Learning
Source: https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-cheat-sheet
scikit-learn
Source: https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
Source: https://www.datacamp.com
Neural Networks
Source: https://www.asimovinstitute.org/neural-network-zoo/
Source: https://www.asimovinstitute.org/author/fjodorvanveen/
PySpark
Source: https://www.datacamp.com
Source: https://www.datacamp.com
Numpy
Source: https://www.datacamp.com
Source: https://intellipaat.com/blog/tutorial/python-tutorial/numpy-cheat-sheet/
Source: http://datasciencefree.com/
SciPy - Linear Algebra built on Numpy
Source: https://www.datacamp.com
Bokeh (Data Visualization)
Source: https://www.datacamp.com
Pandas
Source: https://www.datacamp.com
Source: https://www.datacamp.com
Matplotlib (Data Visualization)
Source: https://www.datacamp.com
Seaborn (Data Visualization)
Source: https://www.datacamp.com
Keras
Source: https://www.datacamp.com
Jupyter Notebook
Source: https://www.datacamp.com
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