Skip to content

Instantly share code, notes, and snippets.

@rakuishi

rakuishi/20180220_simple-linear-regression.ipynb

Last active February 3, 2022 02:14
Show Gist options
  • Save rakuishi/29ae518ea83d51f039cfebebcc54a03a to your computer and use it in GitHub Desktop.
Save rakuishi/29ae518ea83d51f039cfebebcc54a03a to your computer and use it in GitHub Desktop.
Download ZIP
【キカガク流】人工知能・機械学習 脱ブラックボックス講座 - 初級編 -
Display the source blob
Display the rendered blob
Raw
20180220_simple-linear-regression.ipynb
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Raw
sample.csv
x y
40.362 137500.0
40.68600000000001 132500.0
38.43 93000.0
36.822 96500.0
37.002 100500.0
35.106 97500.0
35.016000000000005 97500.0
36.762 102000.0
38.844 99000.0
37.374 97000.0
37.17 108500.0
40.29 114000.0
35.477999999999994 94000.0
36.55200000000001 93500.0
37.524 92500.0
35.568 91500.0
37.056 106000.0
36.126 96000.0
35.232000000000006 102000.0
34.385999999999996 96500.0
35.22 110000.0
36.024 101500.0
35.766000000000005 102500.0
35.135999999999996 86500.0
35.274 94000.0
35.916000000000004 107000.0
33.678 78500.0
34.158 81000.0
38.586 90000.0
33.822 71500.0
38.748 96000.0
37.956 98000.0
38.232000000000006 115000.0
34.932 92000.0
34.542 78000.0
38.01 90500.0
35.652 87000.0
38.724 85500.0
35.142 66500.0
36.906 89000.0
37.044 70000.0
30.114 72000.0
32.418 67000.0
32.808 78000.0
29.418000000000003 59000.0
36.78 69000.0
33.767999999999994 78000.0
29.556 73000.0
31.116 89000.0
33.582 77000.0
36.732000000000006 107500.0
32.424 98000.0
30.071999999999996 76500.0
34.254 97000.0
36.774 85000.0
36.912 78000.0
31.632 65500.0
41.658 206500.0
36.396 121500.0
39.06 116500.0
37.5 135000.0
44.934 250000.0
46.812000000000005 250000.0
50.25 250000.0
35.124 113500.0
36.606 125000.0
47.574 250000.0
35.262 119000.0
37.914 119000.0
38.412 111500.0
35.25 87000.0
35.28 95500.0
33.432 115500.0
38.496 118000.0
35.153999999999996 113000.0
39.276 147000.0
36.12 116000.0
37.89 123000.0
41.160000000000004 149500.0
41.88 186000.0
46.589999999999996 199000.0
36.864000000000004 181000.0
42.93 189500.0
39.378 162500.0
33.624 132000.0
36.918 148000.0
46.986000000000004 250000.0
40.692 160000.0
39.336 149000.0
43.11 174500.0
41.706 185000.0
40.434 152500.0
43.068 182000.0
40.8 155500.0
39.624 145500.0
47.25 250000.0
43.72200000000001 166500.0
42.642 151500.0
43.644 173000.0
41.849999999999994 174500.0
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment