Explain Feature Engineering, Feature Selection, and PCA using an example in detail.
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This is part two of series of getting data ready for modelling . If you have not read part 1 ,then I suggest you go first through it .As feature engineering is the generally the firts step . Once you have sufficient less or no missing data or outlier next come is feature selection or feature extraction . There are generally two approaches. 1 . Feature extraction/selection . 2 . Dimensions reduction or feature reduction
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