Cheatsheets on Data Science, Machine Learning, AI & Analytics



 
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  • Scikit-learn for Machine Learning Cheatsheet
    Scikit-learn for Machine Learning Cheatsheet

    The latest KDnuggets exclusive cheatsheet covers the essentials of machine learning with Scikit-learn.

  • Linux for Data Science Cheatsheet
    Linux for Data Science Cheatsheet

    KDnuggets is back with another exclusive cheatsheet, this time sharing a Linux quick reference for data science.

  • Git for Data Science Cheatsheet
    Git for Data Science Cheatsheet

    Knowing git is no longer an option for data professionals. Grab this handy reference sheet now and make sure you know how to git the job done.

  • Python Control Flow Cheatsheet
    Python Control Flow Cheatsheet

    The latest KDnuggets cheatsheet focuses on Python flow control, how we manage the execution order of statements in a program. Check it out for a quick start.

  • Getting Started with Pandas Cheatsheet
    Getting Started with Pandas Cheatsheet

    The latest KDnuggets cheatsheet aims to get you up to speed with introductory Pandas operations, and provide a handy reference as you work with the library. Check it out if you're interested in a quick start.

  • Getting Started with SQL Cheatsheet
    Getting Started with SQL Cheatsheet

    Want to get started with SQL? Check out the latest cheatsheet from KDnuggets to get up to speed on the basics of one of the most popular, useful, and in-demand languages in the world of data science.

  • Python String Processing Cheatsheet
    Python String Processing Cheatsheet

    Try this string processing primer cheatsheet to gain an understanding of using Python to manipulate and process strings at a basic level.

  • Data Preparation in R Cheatsheet
    Data Preparation in R Cheatsheet

    Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.

  • Data Preparation with SQL Cheatsheet
    Data Preparation with SQL Cheatsheet

    If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?