Timeline for Plotting in Multiple Linear Regression in Python 3
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Mar 7, 2020 at 19:50 | answer | added | Lucas Morin | timeline score: 0 | |
| Oct 11, 2018 at 19:21 | comment | added | Anupriya Thirumurthy | I've tried a 3D plot using mplot3D for a similar problem. Check this out: medium.com/@anupriyaincbe/… | |
| Sep 12, 2018 at 19:00 | 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. | |
| Aug 13, 2018 at 18:05 | answer | added | Siddhi Kiran Bajracharya | timeline score: 2 | |
| Aug 13, 2018 at 13:34 | comment | added | Mephy |
It seems like X has two features (iloc[:, [0, 2]]). But then you try to use the regression on that [0, 1, ..., 15] array that has only one feature. And even after you get the predictions, the visualization will have to be 3D (because of the two Xs plus the Y).
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| Aug 13, 2018 at 13:11 | history | edited | hael | CC BY-SA 4.0 |
added 399 characters in body
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| Aug 13, 2018 at 13:06 | comment | added | n1k31t4 | What does this code actually give then? Can you post a screenshot of the result? Or is there a bug? The plotting part seems ok to me, but is hard to test without having that dataset. | |
| Aug 13, 2018 at 13:00 | review | First posts | |||
| Aug 13, 2018 at 18:22 | |||||
| Aug 13, 2018 at 13:00 | history | asked | hael | CC BY-SA 4.0 |