[Term Entry] Python - NumPy built-in functions: .argmax() #6434
Conversation
mamtawardhani
added
new entry
|
|
||
| ## Example 2: Working with Multi-dimensional Arrays | ||
|
|
||
| `.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: |
There was a problem hiding this comment.
Can you change the last line, "The example code is".
|
|
||
| ## Example 3: [Machine Learning](https://www.codecademy.com/resources/docs/general/machine-learning) Applications with `keepdims` | ||
|
|
||
| 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: |
There was a problem hiding this comment.
Can you change the line "Here is the code".
|
|
||
| ## Example 1: Finding Maximum Element Position in a 1D Array | ||
|
|
||
| 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: |
There was a problem hiding this comment.
Can you change the line "The code is as follows".
| print(f"Top scorer in {subject}: Student {best_students[i] + 1}") | ||
| ``` | ||
|
|
||
| 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
added
status: review 1️⃣ completed
status: waiting for author
and removed
status: under review
|
Thank you for contributing to Codecademy docs @mamtawardhani. The entry looks good to be merged. |
|
👋 @mamtawardhani 🎉 Your contribution(s) can be seen here: https://www.codecademy.com/resources/docs/numpy/built-in-functions/argmax Please note it may take a little while for changes to become visible. |
Description
[Term Entry] Python - NumPy built-in functions: .argmax()
Issue Solved
closes #6424
Type of Change
Checklist
mainbranch.Issues Solvedsection.