OH 9-12 FDN: AI.ML.9-12.F.b
CodeHS Lessons
Use either a supervised or unsupervised learning algorithm to train a model on real-world data, then evaluate the results.
| Standard |
| 4.1 Introduction to Predictive Models |
| 4.2 Correlation |
| 4.3 Programming Linear Regression |
| 4.4 Training and Testing Data |
| 4.5 Multivariable Linear Regression |
| 4.6 Classification and Logistic Regression |
| 4.7 Building Unsupervised Models |
