Remove "QuantileRegressor" from Supervised.py to avoid system hanging

[IslamAAli]

Removing "QuantileRegressor" which is the cause of the system to hang at 64% or 74%. Tested on multiple size datasets and it solves the problem

[KayO-GH]

This is a simple but very useful PR. @shankarpandala I think you should look into this.
It solves a problem many of us are facing. Personally, I manually remove that regressor before using LazyPredict, otherwise, it stalls right after using the Poisson Regressor.

I used the code below to get it running without this fix, but the fix would certainly help a great deal, unless there's some other consideration I do not know of:

import sklearn
from lazypredict import Supervised

Supervised.removed_regressors.append("QuantileRegressor")
Supervised.REGRESSORS.remove(('QuantileRegressor', sklearn.linear_model._quantile.QuantileRegressor))
LazyRegressor = Supervised.LazyRegressor

Then use the LazyRegressor as usual.

[Borda]

Let's rename the PR such it reflects the suggested change...

[IslamAAli]

Let's rename the PR such it reflects the suggested change...

Changed the title of the MR as suggested.