[Term Entry] Python - NumPy built-in functions: .argmax() #6434
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mamtawardhani
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| ## Example 2: Working with Multi-dimensional Arrays | ||
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| `.argmax()` becomes especially powerful when working with multi-dimensional arrays. By specifying the axis parameter, maximum values along rows or columns can be found, which is useful for tasks like finding the highest value in each feature of a dataset. The example code is: |
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| ## Example 3: [Machine Learning](https://www.codecademy.com/resources/docs/general/machine-learning) Applications with `keepdims` | ||
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| The `.argmax()` function is commonly used in machine learning to identify predicted classes from probability outputs. The `keepdims` parameter is particularly useful when integrating this operation into larger computational graphs. Here is the code: |
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| ## Example 1: Finding Maximum Element Position in a 1D Array | ||
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| The simplest application of `.argmax()` is finding the position of the maximum value in a one-dimensional array. This is useful when the position itself carries meaningful information. The code is as follows: |
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| print(f"Top scorer in {subject}: Student {best_students[i] + 1}") | ||
| ``` | ||
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| Explore the [Learn Statistics with NumPy](https://www.codecademy.com/enrolled/courses/intro-statistics-numpy) course on Codecademy to delve deeper into NumPy functionalities. |
Radhika-okhade
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Description
[Term Entry] Python - NumPy built-in functions: .argmax()
Issue Solved
closes #6424
Type of Change
Checklist
mainbranch.Issues Solvedsection.