# Instructive example for using machine learning to predict continuous variable?

Arguably, the MNIST or titanic examples are probably the most common and instructive examples of classification problems solved using machine learning.

Are there any 'iconic' examples of machine learning models used to predict continuous variables?

### Notes

• By 'continuous', I mean continuous within some range, not limited to negative infinity to positive infinity, 0 to positive infinity, or 0 - 1. E.g. predicting a property value or temperature.
• By 'example' I mean something accessible on the web, with easy to download data and code (preferably available in the main data science languages)
• You open by referring to data but then inquire about models: which do you mean? Please note that inquiries about data are not on topic here. – whuber Oct 14 at 16:32
• @whuber I thought just model, but I guess both (basically after an MRE just like titanic/MNIST effectively are). It's not a complete example without both. MNIST is great because it's doable in just a few lines of code, in many languages, with an easily accessible data set. – user5783745 Oct 14 at 16:32

from keras.datasets import boston_housing