#data science Cheatsheets

A concise cheat sheet for the scikit-learn library, covering essential functionalities for machine learning in Python. This guide includes key concepts, model selection, preprocessing techniques, and evaluation metrics with practical examples.

A comprehensive cheat sheet covering essential concepts, tools, and techniques in Data Science. It provides a quick reference for machine learning algorithms, data manipulation, statistical methods, and more.

A comprehensive cheat sheet covering fundamental machine learning concepts, algorithms, and techniques. Useful for quick reference and understanding key aspects of machine learning workflows.

A comprehensive cheat sheet for the Julia programming language, covering syntax, data types, control flow, functions, and more. Designed for quick reference and efficient learning.