ROC and AUC, Clearly Explained!

ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information from a ton of confusion matrices into a single, easy to interpret graph. This video walks you through how to create and interpret ROC graphs step-by-step. We then show how...

Intermediate - 16 min - AI & Data - StatQuest with Josh Starmer

The full course: Learn Machine Learning Foundations free

What you'll need

• Laptop stand: Screen at eye level for long study sessions.
• Noise-cancelling headphones: Focus through long video lessons.
• Second monitor: Video on one screen, practice on the other.
• Wireless keyboard and mouse: Comfortable for hours of typing.

Books

1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron - View on Amazon
2. The Hundred-Page Machine Learning Book by Andriy Burkov - View on Amazon
3. An Introduction to Statistical Learning by Gareth James - View on Amazon
4. Introduction to Machine Learning with Python by Andreas C. Mueller - View on Amazon
5. The Alignment Problem by Brian Christian - View on Amazon
6. Machine learning by Kevin P. Murphy - View on Amazon

Next lessons

• Harvard CS50’s Artificial Intelligence with Python – Full University Course (711 min, freeCodeCamp.org, Intermediate)
• Machine Learning Course for Beginners (592 min, freeCodeCamp.org, Beginner)
• Python Machine Learning Tutorial (Data Science) (50 min, Programming with Mosh, Intermediate)
• Entropy (for data science) Clearly Explained!!! (17 min, StatQuest with Josh Starmer, Intermediate)
• AI, Machine Learning, Deep Learning and Generative AI Explained (10 min, IBM Technology, Intermediate)
• AI Foundations Course – Python, Machine Learning, Deep Learning, Data Science (622 min, freeCodeCamp.org, Intermediate)
• Data Science Projects For Resume | Machine Learning Projects With Source Code (14 min, codebasics, Intermediate)
• Machine Learning for Everybody – Full Course (234 min, freeCodeCamp.org, Intermediate)