Techniques for Data Dimensionality Reduction
These are some of common Data Dimensionality Reduction before any variable reduction technique
- Missing Values
 - Low Variance Filter. ...
 - High Correlation Filter. ...
 - Random Forests / Ensemble Trees. ...
 - Principal Component Analysis (PCA). ...
 - Backward Feature Elimination. ...
 - Forward Feature Construction.
 
Please look out for details of each of the method