How do I choose the right feature selection technique?

What factors should I consider when choosing a feature selection technique?

You should consider the size of your dataset, the type of features, and the model you plan to use.

Are there specific techniques that work better for certain types of data?

Yes, for example, filter methods are great for high-dimensional data, while wrapper methods can be better for smaller datasets.

How do I know if a technique is effective for my model?

You can evaluate the performance of your model using cross-validation and compare results with different feature selection techniques.

Can you recommend any resources for learning more about this?

Sure! Look into books on machine learning, online courses, and research papers on feature selection.