Data Types From A Machine Learning Perspective With Examples

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Almost anything can be turned into DATA. Building a deep understanding of the different data types is a crucial prerequisite for doing Exploratory Data Analysis (EDA) and Feature Engineering for Machine Learning models. You also need to convert data types of some variables in order to make appropriate choices for visual encodings in data visualization and storytelling.

Most data can be categorized into 4 basic types from a Machine Learning perspective: numerical data, categorical data, time-series data, and text.

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https://towardsdatascience.com/data-types-from-a-machine-learning-perspective-with-examples-111ac679e8bc