A Comprehensive Guide to Cross-Validation with Scikit-Learn and Python

In this comprehensive tutorial, we dive into the world of model validation using cross-validation techniques with Python and Scikit-Learn. Cross-validation plays a pivotal role in assessing the true performance of machine learning models, helping us build robust and reliable solutions.
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: [e-mail]
🌐 Website & Blog: ryannolandata.com/
🍿 WATCH NEXT
Scikit-Learn and Machine Learning Playlist: • Scikit-Learn Tutorials...
Column Transformer: • Simplify Data Preproce...
Cross Validation: • A Comprehensive Guide ...
Feature Scaling: • Python Feature Scaling...
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⚙️ GitHub: github.com/RyanNolanData
🖥️ Discord: / discord
📚 *Practice SQL & Python Interview Questions: stratascratch.com/?via=ryan
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 RUclips 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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[@brandoncyoung]

Dude all your videos are fantastic. Nice little bite sized chucks of gold

[@RyanNolanData]

Thanks! Still so much to make

[@user-qd9po7zj5q]

GREAT VIDEOS! Explained way better than the textbook! New Subscriber now!

[@RyanNolanData]

Whoa! And thank you

[@pranp1217]

Nice one, very informative

[@RyanNolanData]

Thank you! More Machine learning soon. It’s so much fun

[@pymav]

Hello! Love your videos. Is there a way I can get the notebook with the code to learn from. Can’t see some codes you type out. There out of screen. Thanks

[@RyanNolanData]

I plan on adding everything to my site in the future just need a little bandwidth first