Feature Engineering - EDA Best practices for a project with large number of attributes

@mohitlearns wrote:

Hello,

If a machine learning project has a large number of attributes/features say 50+ then :

1. Analyzing the relationship between them one by one can be a cumbersome process and will consume a lot of time. Understanding bi-variate relationships can be more tedious and complex

2. One might get lost in the whole process due to the confusion & complexity created by some many attributes

So how do we manage the whole process of analyzing relationships when there are large number of features so as to have a better grip and understanding over the whole process.

Are there any best practices to share to manage the whole process?

Thanks & Regards,

Mohit

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