Hello fellow Data Scientist !
I don't know if it's the right place to ask that but I guess so let's go.
I just discovered Pycaret with this notebook : https://www.kaggle.com/servietsky/house-price-easy-modeling-easy-bl...
And it's seems to good to be real, it made a lot with so little. So Im' quite suspicious, what do you guys think ? It's a good alternative ? And if yes, for what ? Just blending ? Or other stuff ? Or is not that good and not fiable ?
Because I check what this package can do right now and for example with just one line of code, it can compare a lot of models just like that. You just need to specify the metrics and the models you do not want and here we go. That's great ! But maybe with huge dataset it will take forever ? I don't know.. It's seems so simple… I'm suspicious.
Let me know what you guys thinking, you have far more experience than me, a young data scientist.
I don't know why but I cannot find anyone to answer me on that. PyCaret seems to be a great package under construction, I thought we could discuss on this more easily. Never mind, wait and see.