Timeline for Machine learning - features engineering from date/time data
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
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| Jan 27, 2022 at 9:10 | comment | added | haneulkim | if all other numerical columns are scaled do we need to scale weekday(1~7) as well? | |
| Nov 29, 2020 at 4:34 | comment | added | deepyaman |
@Tajni You can use the holidays package for Easter and a lot of other things, but I'm not aware of anything out of the box for is_superbowl, but the same package allows you to specify custom holidays. "For more complex logic like 4th Monday of January [or, in the case of the Super Bowl, first Sunday in February], you can inherit the HolidayBase class and define your own _populate(year) method. See [the] documentation for examples." Source: github.com/dr-prodigy/python-holidays/blame/…
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| May 26, 2020 at 4:54 | comment | added | Tajni |
You get variables is_easter, is_superbowl from any package?
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| Mar 5, 2020 at 0:49 | comment | added | haneulkim | Thanks! One questions, so after we create day_of_year, day_of_week column and so on... is it necessary to change them with one-hot encoding as 1 < 2 < 3 < ... < 7 in day of week | |
| Dec 9, 2019 at 17:13 | comment | added | sAguinaga | after identifying and selecting date driven features, do you recommend dropping from the Train_X features those original Date columns? | |
| Dec 3, 2014 at 16:27 | vote | accept | Igor Bobriakov | ||
| Nov 5, 2014 at 22:02 | history | edited | Ben Haley | CC BY-SA 3.0 |
deleted 1 character in body
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| Oct 31, 2014 at 13:08 | history | edited | Ben Haley | CC BY-SA 3.0 |
Elaborated on the reasons that graphing is useful.
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| Oct 29, 2014 at 14:03 | review | First posts | |||
| Oct 30, 2014 at 14:43 | |||||
| Oct 29, 2014 at 13:54 | history | answered | Ben Haley | CC BY-SA 3.0 |