Feature Engineering, Machine Learning, Data Science, Data, Python.
smaller number of features while leaving the noise alone, thus boosting the signal-to-noise ratio. Decorrelation: Some ML algorithms struggle with highly-correlated features. PCA transforms correlated features into uncorrelated components, which could be easier for the algorithm to work with. PCA