Common Pitfalls

Home Posts Tagged "Common Pitfalls"

We shed light on common pitfalls in machine learning projects and empower machine learning engineers to avoid them, thereby saving their precious time for high-impact endeavors.

                
    Boruta
Boruta(SHAP) Does Not Work For The Reason You Think It Does!
            Everything you wish you knew about Boruta, and more.
        
        Yves-Laurent Kom Samo, PhD
        
    3 May 2022
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    8 min read
    
    Common Pitfalls
Autoencoders: What Are They, and Why You Should Never Use Them For Pre-Processing
            Fundamental limitations you need to be aware of before using autoencoders as pre-processing step in predictive modeling problems on tabular data.
        
        Yves-Laurent Kom Samo, PhD
        
    19 Apr 2022
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    14 min read
    
    Common Pitfalls
5 Reasons You Should Never Use PCA For Feature Selection
            Fundamental limitations you need to be aware of before using Principal Components Analysis for feature selection.
        
        Yves-Laurent Kom Samo, PhD
        
    31 Mar 2022
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    7 min read
    
    Common Pitfalls
5 Reasons Why You Should Never Use Recursive Feature Elimination
            Fundamental limitations you need to be aware of before using Recursive Feature Elimination (RFE) or any other feature selection algorithm based on feature importance.
        
        Yves-Laurent Kom Samo, PhD
        
    15 Mar 2022
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    4 min read