72. How to reduce dimensionality?
Reducing dimensionality refers to the process of lowering the number of random variables. This can be reduced by using methods like,
- Firstly, the ratio of the missing value
- Secondly, low variance filter
- Thirdly, a high correlation filter
- Fourthly, random forest
- Lastly, principal component analysis.