Update 100_Numpy_exercises_with_solutions.md #186
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#### 22. Normalize a 5x5 random matrix (★☆☆) The formula for calculating normalized score: X new = (X — X min)/ (X max — X min)
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The term "normalize" might be confusing but the goal is to have a resulting matrix with mean=0 and std=1. |
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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. |
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22. Normalize a 5x5 random matrix (★☆☆)
The formula for calculating normalized score:
X new = (X — X min)/ (X max — X min)