Random Forest Regressor in Python: A Step-by-Step Guide
Ғылым және технология
In this comprehensive tutorial, we'll dive into the world of machine learning with Python using the powerful Scikit-Learn library. You'll learn how to build a Random Forest Regressor model step-by-step, gaining the skills to predict real-world data accurately
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Пікірлер: 7
Could you add the code file in the description for dowloading. Could not view few parts of the code..
I'm missing some knowledge on the n_estimators, max_depth, min_samples split, min_samples_leaf, random_state, and verbose features of the random forest regressor. I know the scikit learn has a description, but I'm just unable to grasp or get a feel for how to pick these parameters. Any tips?
Great! I was looking for this content! Thanks a lot
@RyanNolanData
7 ай бұрын
No problem! Way more content coming out soon
Just subscribed. Great in depth example, ez to follow, and very useful for regression analysis. One thing I think would help is to add a sort of prerequisites or 'things you should already know' section prior to jumping in, that way new people like me can learn prior to and get the most out of your vids. Great stuff and wish you the best in your DS journey.
@RyanNolanData
4 ай бұрын
I’ve been doing that on recent vids. Also I make the playlist to teach people in order. Thanks for subbing and checking this out
Nice video. Try not to cover the code with your face too much, it's a bit confusing to follow. Good job 👍