Reducing the number of features
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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.
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Answers (2)
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.
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Image Analyst
on 20 Mar 2021
The simplest way might be to use PCA. A demo is attached (for a completely different situation though).
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