Continuous feature: Revision history

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17 March 2023

20 February 2023

  • curprev 12:3012:30, 20 February 2023‎ Alpha5 talk contribs‎ 4,025 bytes +174‎ No edit summary
  • curprev 12:2112:21, 20 February 2023‎ Alpha5 talk contribs‎ 3,851 bytes +3,851‎ Created page with "===Introduction== Machine learning usually divides data into two primary types: continuous and categorical. Continuous features, also referred to as numerical or quantitative features, refer to variables that take on a range of numeric values like age, weight, and height. These features are commonly employed in regression models that aim to predict an output variable such as sales or revenue based on input features. Understanding continuous features is critical for creat..."
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