@B.Rabbit wrote:
Hello People,
I'm participating in pump it competition in data driven.
I was doing looking at each and every feature and trying to form conclusions. I realised that all the conclusions which I formed are pointless as any tree or ensemble model will catch that and model accordingly. So my question is what do you generally obtain or what should be looked for while doing univariate/multivariate analysis?
Also if you look at the data there are a lot of features which are factors. What feature engineering can be done such features?Regards
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