Random Forest Regressor in Python: A Step-by-Step Guide

[@RyanAndMattDataScience]

Hey guys I hope you enjoyed the video! If you did please subscribe to the channel! Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg If you want to watch a full course on Machine Learning check out Datacamp: datacamp.pxf.io/XYD7Qg Want to solve Python data interview questions: stratascratch.com/?via=ryan I'm also open to freelance data projects. Hit me up at [e-mail] *Both Datacamp and Stratascratch are affiliate links.

[@gasfeesofficial3557]

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?

[@FruitfulPerspectives]

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.

[@RyanAndMattDataScience]

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

[@yasaswyturlapati3350]

Could you add the code file in the description for dowloading. Could not view few parts of the code..

[@gilbertowatanabe143]

Great! I was looking for this content! Thanks a lot

[@RyanAndMattDataScience]

No problem! Way more content coming out soon

[@randall.chamberlain]

Nice video. Try not to cover the code with your face too much, it's a bit confusing to follow. Good job 👍