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
Code:
?? Mentorships: https://ryanandmattdatascience.com/mentorship/
? Email: [email protected]
? Website & Blog: https://ryanandmattdatascience.com/
?️ Discord: https://discord.com/invite/F7dxbvHUhg
? *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan
? *SQL and Python Courses: https://datacamp.pxf.io/XYD7Qg
? WATCH NEXT
Scikit-Learn and Machine Learning Playlist: https://www.youtube.com/playlist?list=PLcQVY5V2UY4LNmObS0gqNVyNdVfXnHwu8
Elastic Net Regressor: https://youtu.be/xl6KAAVytEk
Stacking Regressor: https://youtu.be/gpOBpXZhUrI
Kaggle House Regression Project: https://youtu.be/UqmulHG4IvY
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.
*This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.