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
Interested in discussing a Data or AI project? Feel free to reach out via email or simply complete the contact form on my website.
📧 Email: [email protected]
🌐 Website & Blog: https://ryannolandata.com/
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KNN Classification: https://youtu.be/Nz73vXn5afE
Logistic Regression: https://youtu.be/aL21Y-u0SRs
Support Vector Machine: https://youtu.be/kPkwf1x7zpU
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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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