Random Forest Algorithm Explained with Python and scikit-learn

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In this comprehensive tutorial, we'll guide you through the process of creating a powerful machine learning model – the Random Forest Classifier – using the popular Python library, Scikit-Learn. Let's embark on this exciting journey to enhance your machine learning prowess!

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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

Thank you so much for this machine learning series. I absolutely loved it. Your videos are super awesome for beginners as they are simple and understandable. Though it would be better if you explained some of the little details briefly, like in the SVM video, you could have explained what each hyperparameter was for. But overall, the videos are just perfection, and I've learned so much thanks to you.

shivi_was_never_here

Hi, what does importance mean? with feature importance

rinavw

This has been really helpful. Thank you 👍

enochdoe

You're like Cody Ko if he never stopped coding

elvinush

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