Timeline for Machine learning for time-series forecasting
Current License: CC BY-SA 4.0
11 events
| when toggle format | what | by | license | comment | |
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| Jun 18, 2021 at 10:09 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Feb 18, 2021 at 10:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| S Jun 6, 2020 at 22:34 | history | suggested | mloning | CC BY-SA 4.0 |
Changed title to better reflect question
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| Jun 6, 2020 at 12:07 | review | Suggested edits | |||
| S Jun 6, 2020 at 22:34 | |||||
| Jun 6, 2020 at 12:06 | answer | added | mloning | timeline score: 1 | |
| May 20, 2020 at 13:58 | comment | added | Akhilesh Kumar | @Ic3fr0g thank you for your reply. | |
| May 20, 2020 at 13:57 | comment | added | Akhilesh Kumar | @jonnor thank you for your reply. | |
| May 19, 2020 at 7:07 | comment | added | Jon Nordby | Use a TimeseriesSplitter instead of train_test_split. Your performance now is overestimated, as you have data leakage | |
| May 19, 2020 at 5:06 | comment | added | Ic3fr0g | Shuffling a dataset for time-series forecasting is not a good practice. It would be helpful if you could provide an MCV of your issue and data. | |
| May 19, 2020 at 4:32 | review | First posts | |||
| May 19, 2020 at 8:12 | |||||
| May 19, 2020 at 4:27 | history | asked | Akhilesh Kumar | CC BY-SA 4.0 |