PYLAB Telegram 454
Normalization vs Standardization — Quantitative analysis

این دو به اشتباه به جای هم زیاد به کار میرند. اما فرق دارند...

https://towardsdatascience.com/normalization-vs-standardization-quantitative-analysis-a91e8a79cebf


Normalization typically means rescales the values into a range of [0,1]. Standardization typically means rescales data to have a mean of 0 and a standard deviation of 1 (unit variance).


Table of Contests

0. Why are we here?
1. Out-of-the-box classifiers
2. Classifier + Scaling
3. Classifier + Scaling + PCA
4. Classifier + Scaling + PCA + Hyperparameter Tuning
5. All again on more datasets:
— 5.1 Rain in Australia dataset
— 5.2 Bank Marketing dataset
— 5.3 Income classification dataset
— 5.4 Income classification dataset
Conclusions



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Normalization vs Standardization — Quantitative analysis

این دو به اشتباه به جای هم زیاد به کار میرند. اما فرق دارند...

https://towardsdatascience.com/normalization-vs-standardization-quantitative-analysis-a91e8a79cebf


Normalization typically means rescales the values into a range of [0,1]. Standardization typically means rescales data to have a mean of 0 and a standard deviation of 1 (unit variance).


Table of Contests

0. Why are we here?
1. Out-of-the-box classifiers
2. Classifier + Scaling
3. Classifier + Scaling + PCA
4. Classifier + Scaling + PCA + Hyperparameter Tuning
5. All again on more datasets:
— 5.1 Rain in Australia dataset
— 5.2 Bank Marketing dataset
— 5.3 Income classification dataset
— 5.4 Income classification dataset
Conclusions

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