Methods to implement dimension reduction techniques.

[VijaySingh-GSLab]

We can add some utilities to give user the options to reduce the dimensions of data. For example:

1. Backward elimination technique
2. Forward elimination technique
3. PCA

Advantages of adopting dimension reduction techniques:

1. It reduce the size of data so ML algorithms run faster.
2. Avoid over fitting of model
3. Helps in finding out which columns are significant and which are not.
4. In few case model accuracy also increases.
5. Help in visualizing multi-dimensional data.