Are you intrigued by the power of decision-making in machine learning?
By the end of this tutorial, you'll have a solid grasp of Decision Trees, be capable of implementing them in Python, and understand their role in various machine learning projects.
What you'll discover:
The fundamentals of Decision Trees: How they make decisions and create splits
Hands-on coding: Building Decision Trees in Python using popular libraries
Pruning and preventing overfitting: Strategies for optimizing Decision Tree performance
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
KNN Classification:
https://youtu.be/Nz73vXn5afE
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.
*This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.