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

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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WHO AM I?
As a full-time data analyst/scientist at a fintech company specializing in combating fraud within underwriting and risk, I've transitioned from my background in Electrical Engineering to pursue my true passion: data. In this dynamic field, I've discovered a profound interest in leveraging data analytics to address complex challenges in the financial sector.

This YouTube channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together.

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[RyanAndMattDataScience]

Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!


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[yasaswyturlapati]

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

[gasfeesofficial]

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.

[gilbertowatanabe]

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

[randall.chamberlain]

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