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Advanced Python and AI Programming

Build a Classifier

Students design, build, train, and evaluate an original machine learning classifier across a series of milestones, culminating in a documented and presented final project.

Lessons

9.1 Plan Your Classifier

  • Framing the Project
  • Project Launch
  • Dataset Design and Planning
  • My Topic and Why

9.2 Build Your Dataset

  • From Idea to Dataset
  • Build Your Dataset
  • Who Is Missing?

9.3 Train Your First Model

  • Training on Your Own Data
  • Training with KNN
  • Training On Your Data Reflection

9.4 Test With Unseen Data

  • Grading Your Model
  • Evaluate Your Model
  • Model Accuracy Reflection

9.5 Compare and Tune

  • Comparing Models
  • Compare and Tune Your Model
  • Model Comparison Reflection

9.6 Showcase and Reflection

  • Considering Bias
  • Model Card
  • Showcase Presentation
  • Peer Dataset Review
  • Final Project Reflection

Courses that include this module