Timeline for Instructive example for using machine learning to predict continuous variable?
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Oct 14, 2019 at 16:51 | answer | added | Ken Grimes | timeline score: 2 | |
| Oct 14, 2019 at 16:40 | history | edited | stevec | CC BY-SA 4.0 |
added 151 characters in body
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| Oct 14, 2019 at 16:38 | answer | added | Aksakal | timeline score: 0 | |
| Oct 14, 2019 at 16:33 | history | reopened | whuber♦ | ||
| Oct 14, 2019 at 16:32 | comment | added | stevec | @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. | |
| Oct 14, 2019 at 16:32 | history | closed | whuber♦ | Needs details or clarity | |
| Oct 14, 2019 at 16:32 | comment | added | whuber♦ | 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. | |
| Oct 14, 2019 at 16:31 | history | made wiki | Post Made Community Wiki by whuber♦ | ||
| Oct 14, 2019 at 16:29 | history | asked | stevec | CC BY-SA 4.0 |