Master the Random Forest Algorithm with Python & scikit-learn 🌳
Learn how to implement and understand the Random Forest algorithm using Python and scikit-learn. Plus, join my free Skool community for exclusive resources on Data, Machine Learning, and AI Automation!
About this video
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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📧 Email: ryannolandata@gmail.com
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🍿 WATCH NEXT
Scikit-Learn and Machine Learning Playlist: https://www.youtube.com/playlist?list=PLcQVY5V2UY4LNmObS0gqNVyNdVfXnHwu8
Decision Tree Classifier: https://youtu.be/YkYpGhsCx4c
Logistic Regression: https://youtu.be/aL21Y-u0SRs
Support Vector Machine: https://youtu.be/kPkwf1x7zpU
OTHER SOCIALS:
Ryan’s LinkedIn: https://www.linkedin.com/in/ryan-p-nolan/
Matt’s LinkedIn: https://www.linkedin.com/in/matt-payne-ceo/
Twitter/X: https://x.com/RyanMattDS
Who is Ryan
Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.
Who is Matt
Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One.
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