feature selection techniques for dataset that contains urls,statements and strings?
Feature selection techniques for dataset that contains urls,statements and strings?
Hey @priyanshichauhanx06, techniques like feature selection are usually used to reduce the dimensionality of the dataset. So most commonly PCA is used to extract useful information and to find patterns in the data. Since it is a machine Learning model, you do need to convert your features into numeric values before applying any algorithm. Hence the problem of applying PCA and feature selection on char / strings / urls does not arise. All the data that you feed into your model has to be numeric only.
For more info on PCA , please refer this link.
Do ask me if you have any doubts 
Hope this helps you understand 
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