Update 100_Numpy_exercises_with_solutions.md #186
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#### 22. Normalize a 5x5 random matrix (★☆☆) The formula for calculating normalized score: X new = (X — X min)/ (X max — X min)
|
The term "normalize" might be confusing but the goal is to have a resulting matrix with mean=0 and std=1. |
|
|
The other name is "Z-score normalization". Can you modify your PR to insert standardize then? Also, you need to make the PR on the generic file since all the .md .ipynb are genereted from this file. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
22. Normalize a 5x5 random matrix (★☆☆)
The formula for calculating normalized score:
X new = (X — X min)/ (X max — X min)