Teachable Data

Teachable Data helps teachers and students learn regression and prediction by doing the work themselves. No programming is required to get started. Enter data by hand, import a file, or collect real measurements from a Micro:bit or the sensors in your phone. Training is shown as it happens, so students can see the model fit the data. When you are done, export a report, an interactive predictor, or a program that runs on a Micro:bit. Three projects: • Regression: use X to predict Y. Linear, polynomial, power, exponential, and logarithmic models. • Advanced ML: decision tree, random forest, and KNN, for regression or classification. • Multiple regression: use several inputs to predict one outcome. Useful in physics, chemistry, biology, mathematics, and technology classes. Examples include light and distance, reaction and temperature, and plant growth and light. Repeated measurements can…