Timeline for Should I use other scaling methods for pre-processing the data rather than normalizing or MinMaxScaling?
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| Aug 23 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. | |
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| Jun 11, 2020 at 14:32 | history | edited | CommunityBot |
Commonmark migration
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| Apr 14, 2020 at 3:03 | 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. | |
| Jun 18, 2019 at 9:04 | answer | added | anirudh | timeline score: 0 | |
| Oct 17, 2018 at 12:51 | comment | added | EngrStudent | Fyi: scientificamerican.com/article/… | |
| Oct 3, 2018 at 11:45 | answer | added | EngrStudent | timeline score: 0 | |
| Oct 3, 2018 at 11:33 | comment | added | EngrStudent | Now you are requiring the evocation of Nyquist's sampling theorem, and geospatial sampling. Every system has a "characteristic time" such that if you sample at twice that rate (or about 5x that rate in the presence of reasonable noise) you are unsurprised by its behavior. When dealing with geographically distributed events, the sampling becomes spatial, and instead of sampling tighter, you have to sample wider. The "joy" (challenge) of weather data is that measuring stations are non-uniformly, non-randomly, distributed. | |
| Oct 2, 2018 at 21:09 | history | edited | hyTuev | CC BY-SA 4.0 |
added 184 characters in body
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| Oct 2, 2018 at 21:06 | comment | added | hyTuev | Thanks for the comment. Added a note at the end of my question. Maybe that could clarify the goal. | |
| Oct 2, 2018 at 21:03 | history | edited | hyTuev | CC BY-SA 4.0 |
added 184 characters in body
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| Oct 2, 2018 at 20:38 | comment | added | EngrStudent | Weather is not the same as any one of dry-bulb, wet-bulb, precipitation, irradience, wind speed, cover, or visibility. There are summary methods that convert to metric-days, such as cooling-degree-days where they only count degrees-time above a threshold temperature. It is a offset heaviside sum. Heating degree days is a negative scaled offset heaviside sum. You have to say what the goal is first. There are an infinite number of transforms with infinite members, so finding the right one requires a clear rubric. | |
| Oct 2, 2018 at 20:28 | history | edited | hyTuev | CC BY-SA 4.0 |
edited title
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| Oct 2, 2018 at 20:22 | history | asked | hyTuev | CC BY-SA 4.0 |