Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
sklearn linear regression tuning | 1.26 | 0.7 | 1884 | 26 | 32 |
sklearn | 0.01 | 0.6 | 4459 | 18 | 7 |
linear | 1.95 | 1 | 2391 | 20 | 6 |
regression | 0.99 | 0.3 | 4572 | 13 | 10 |
tuning | 0.06 | 0.1 | 4567 | 8 | 6 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
sklearn linear regression tutorial | 0.26 | 0.5 | 1439 | 9 |
sklearn linear model linear regression | 0.7 | 0.9 | 3226 | 54 |
sklearn for linear regression | 1.21 | 0.8 | 3206 | 85 |
linear regression using sklearn | 0.05 | 0.4 | 4504 | 35 |
sklearn model linear regression | 1.18 | 0.4 | 3349 | 90 |
sklearn linear regression loss | 1.54 | 0.1 | 8875 | 78 |
sklearn linear regression models | 0.22 | 0.4 | 6685 | 87 |
sklearn linear regression evaluation | 1.24 | 0.8 | 6593 | 46 |
sklearn linear regression documentation | 1.26 | 1 | 9836 | 47 |
simple linear regression using sklearn | 1.67 | 0.8 | 5180 | 50 |
sklearn linear regression predict | 0.6 | 0.4 | 3972 | 87 |
linear regression sklearn fit | 1.68 | 0.8 | 2348 | 46 |
sklearn linear regression syntax | 1.68 | 0.5 | 5704 | 76 |
linear regression python sklearn | 1.65 | 0.1 | 8626 | 99 |
linear regression sklearn example | 1.45 | 0.4 | 3040 | 77 |
import linear regression from sklearn | 0.09 | 0.5 | 267 | 85 |
sklearn multiple linear regression | 1.91 | 0.5 | 4696 | 85 |