9-12:06:Model Training, Evaluation, and Performance Metrics

Categories: Student

Course Prerequisite(s)

Please note that this course has the following prerequisites which must be completed before it can be accessed
9-12:05:Introduction to AI/ML with Python and Scikit-learn Basics

Course Content

Part 1: Not All Accuracy is Equal

Video

00:00

Part 2: Let’s Train a Real Model

Open Ended Question

Part 3: Meet the Confusion Matrix

Open Ended Question

Part 4: Precision, Recall, F1 – What Do They Tell Us?

Part 5: When Metrics Reveal Bias

Part 6: Ethical Reflections

Open Ended Question

Part 7: Wrapping Up – You’re Now a Model Analyst