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Reducing the number of features

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Serra Aksoy
Serra Aksoy on 20 Mar 2021
Commented: Serra Aksoy on 29 Mar 2021
Hello everyone.
I have 300 samples and each sample has 5000 features, so my matrix has 300 rows and 5000 columns.
I need to reduce the number of columns with using best features.
How can i determine the best features? What are the options that i can try to do this for getting successful classification accuracy rate?
Thanks in advance.

Answers (2)

Cris LaPierre
Cris LaPierre on 20 Mar 2021
Edited: Cris LaPierre on 20 Mar 2021
You may find this video from our Data Processing and Feature Engineering course on Coursera (and perhaps the entire course) helpful.

Image Analyst
Image Analyst on 20 Mar 2021
The simplest way might be to use PCA. A demo is attached (for a completely different situation though).
  5 Comments
Image Analyst
Image Analyst on 29 Mar 2021
Maybe stepwise regression?
Serra Aksoy
Serra Aksoy on 29 Mar 2021
Thank you, I'll try to apply it.

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