• I've found DataCamp, whose cheat sheets comprise a large portion of the above links, to provide very clear explanations and am currently enjoying their Python Data Science courses. Steve Testa. 2.
  • Python For Data Science Cheat Sheet Pandas Basics Learn Python for Data Science Interactively at www.DataCamp.com Pandas DataCamp Learn Python for Data Science Interactively Series DataFrame 4 Index 7-5 3 d c b A one-dimensional labeled array a capable of holding any data type Index Columns A two-dimensional labeled data structure with columns.

Do you need a little help learning Scikit-Learn in Python? Or maybe you just finding it hard to remember all the different commands to perform different operations? All of those formulas can be confusing and hard to remember. Have no fear!! I have put together 10 of the Best Python Scikit-Learn cheat sheets for you to print and hand next to all your other cheat sheets on the wall above you desk. Take a little time each day to review your cheat sheets and you will have it down in no time!

Apply Now Menu The best data science cheat sheets Data analytics. Whatever your area of development, knowing how to use the most useful functions of the library you're working with is going to make your life a lot easier. Resource Center. Upcoming Events. Recommend a Cheat Sheet. Machine learning +4. Karlijn Willems. Keras Cheat Sheet: Neural Networks in Python April 25th, 2017 Make your own neural networks with this Keras cheat sheet to deep learning in Python.

Cheat Sheet 1: DataCamp

This Scikit-Learn cheat sheet from DataCamp will kick start your data science project by introducing you to the basic concepts of machine learning algorithms successfully. This cheat sheet is for those who have already started to learn Python packages and for those who would like to take a quick look to get a first idea of the basics for total beginners!

Pros: This cheat sheet is rated ‘E’ for everyone!! Information is sectioned in blocks for easier reading

Cons: The bright red can be distracting to some

Cheat Sheet 2: Edureka.co

This Scikit-Learn cheat sheet is done in cool blues than its red cousin above. The information is broken down into blocks to making it easier to digest. This cheat sheet will show you the basics through examples so you can learn to preprocess your data for your projects.

Pros: Rated ‘E’ for everyone!! Information is easily digestible.

Cons: none that I can see.

Cheat Sheet 3: Intellipaat

Datacamp Python For Data Science Cheat Sheet

In collaboration with IBM, Intellipaat has gone one step further with this cheat sheet by providing not only headers in the blocks so you know what you are doing but also in what part of the process you are at! Pre- and Post-processing your data model, with all the steps for you in one handy reference.

Pros: Rated ‘E’ for everyone. It has blocks with steps inside so you don’t forget what commands are used in Pre/PostProcessing, Working the model and evaluating the performance.

Cons: none that I can see.

Cheat Sheet 4: Cheatography

This cheat sheet is great for those who are only needing a quick reference for the definitions of scikit-learn expressions. The sheet is pretty spartan compared to the others in examples but also goes into more depth than the others on definitions. I would not suggest this particular cheat sheet to a total beginner in data science or in Scikit-Learn. I would rate this sheet at ‘I’ for the Intermediate learner.

Pros: Great on definitions on multiple expression types in Scikit-Learn.

Cons: Too spartan for beginners, green background can be distracting.

Cheat Sheet 5: Codecademy

This sheet is also intended for the Intermediate learner of Scikit-Learn. Showing examples for Linear Regressions, Naïve Bayes, k-nearest neighbors, K means, validating the model and Training and test sets, you would best already knowing what the definition of the above expressions are and what they can do. This handy reference is nice to have near if you just need to remember how to write your expression.

Pros: Handy for the Intermediate learner, comes with code examples

Cons: Not for beginners.

Cheat Sheet 6: becominghuman.ai

Here on becominghuman.ai, cheat sheets show not only definitions, but also flow charts to help you check documentation and which estimator is the right one for the job, which can be difficult to do. This cheat sheet is for the Intermediate learner

Pros: Great for Intermediate learners, in-depth definitions on expressions

Cons: Spartan

Cheat Sheet 7: Scikit-learn.org

This cheat sheet shows you the mapping processes of machine learning thru mapping out what each classification, clustering, regression and dimensionality reduction It is a great map to help show you how the expressions are interconnected.

Pros: Great visual

Python For Data Science Cheat Sheet

Cons: Not suggested for beginners

Cheat Sheet 8: Enthought.com

These pdfs are a combination of 3 actually, but each one goes into depth of Classification, Clustering and Regression. This set of 3 are perfect for a complete beginner as it gives you not only definition and code, but also tips, when to use it and how it works!! Enthought made sure to cover everything for you, so don’t worry if you forget or need a refresher on how it all works!

Pros: Rated ‘E’ for everyone!! Goes in depth for the total beginner

Cons: Can be a lengthy read

Cheat Sheet 9: Elite Data Science

This cheat sheet is put together beautifully showing you a step by step process on how to use scikit-learn to build and tune a supervised data model on your own!! One con is that it does not show any examples on how the expressions are used.

Pros: Nicely put together for easy readability.

Cons: For the Intermediate learner.

Cheat Sheet 10: Lauren Glass

This last sheet is generously provided by an Instagram Data Engineer!! Lauren Glass has put together a comprehensive cheat sheet for scikit learn and has made it easy for beginners to understand!! She goes in depth on all the sections and provides definitions for each.

Pros: Easy to read and understand

Datacamp Python Cheat Sheet

Cons: None I can see

Datacamp Python Basics Cheat Sheet

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Thanks for joining me once again!! I hope you find these cheat sheets on Scikit-Learn useful and tape them to your wall above your desk to keep them handy!! I will keep you updated on the best cheat sheets for Python and related subjects!!

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Cheat sheets can be really helpful when you’re trying a set of exercises related to a specific topic, or working on a project. Because you can only fit so much information on a single sheet of paper, most cheat sheets are a simple listing of syntax rules. This set of cheat sheets aims to remind you of syntax rules, but also remind you of important concepts as well. You can click here and download all of the original cheat sheets in a single document.

An updated version of these sheets is also available through Leanpub and Gumroad. The updated version includes a sheet that focuses on Git basics, a printer-friendly b&w version of each sheet, and each sheet as a separate document. The updated versions are available at no cost on both platforms.

Python Basics Cheat Sheet

Individual Sheet Descriptions

  • Beginner’s Python Cheat Sheet
    • Provides an overview of the basics of Python including variables, lists, dictionaries, functions, classes, and more.
  • Beginner’s Python Cheat Sheet - Lists
    • Focuses on lists: how to build and modify a list, access elements from a list, and loop through the values in a list. Also covers numerical lists, list comprehensions, tuples, and more.
  • Beginner’s Python Cheat Sheet - Dictionaries
    • Focuses on dictionaries: how to build and modify a dictionary, access the information in a dictionary, and loop through dictionaries in a variety of ways. Includes sections on nesting lists and dictionaries, using an OrderedDict and more.
  • Beginner’s Python Cheat Sheet - If Statements and While Loops
    • Focuses on if statements and while loops: how to write conditional tests with strings and numerical data, how to write simple and complex if statements, and how to accept user input. Also covers a variety of approaches to using while loops.
  • Beginner’s Python Cheat Sheet - Functions
    • Focuses on functions: how to define a function and how to pass information to a function. Covers positional and keyword arguments, return values, passing lists, using modules, and more.
  • Beginner’s Python Cheat Sheet - Classes
    • Focuses on classes: how to define and use a class. Covers attributes and methods, inheritance and importing, and more.
  • Beginner’s Python Cheat Sheet - Files and Exceptions
    • Focuses on working with files, and using exceptions to handle errors that might arise as your programs run. Covers reading and writing to files, try-except-else blocks, and storing data using the json module.
  • Beginner’s Python Cheat Sheet - Testing Your Code
    • Focuses on unit tests and test cases. How to test a function, and how to test a class.
  • Beginner’s Python Cheat Sheet - Pygame
    • Focuses on creating games with Pygame. Creating a game window, rect objects, images, responding to keyboard and mouse input, groups, detecting collisions between game elements, and rendering text.
  • Beginner’s Python Cheat Sheet - matplotlib
    • Focuses on creating visualizations with matplotlib. Making line graphs and scatter plots, customizing plots, making multiple plots, and working with time-based data.
  • Beginner’s Python Cheat Sheet - Pygal
    • Focuses on creating visualizations with Pygal. Making line graphs, scatter plots, and bar graphs, styling plots, making multiple plots, and working with global datasets.
  • Beginner’s Python Cheat Sheet - Django
    • Focuses on creating web apps with Django. Installing Django and starting a project, working with models, building a home page, using templates, using data, and making user accounts.
Datacamp Python Cheat Sheet

Available from No Starch Press and Amazon.