| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| machine learning model for categorical data | 0.5 | 0.9 | 8251 | 54 | 43 |
| machine | 1.45 | 0.5 | 8923 | 78 | 7 |
| learning | 0.08 | 0.3 | 1868 | 76 | 8 |
| model | 0.46 | 0.7 | 9528 | 50 | 5 |
| for | 1.51 | 0.2 | 3422 | 53 | 3 |
| categorical | 1.35 | 0.1 | 3078 | 53 | 11 |
| data | 1.97 | 1 | 4919 | 72 | 4 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| machine learning model for categorical data | 0.93 | 0.8 | 9261 | 47 |
| what is categorical data in machine learning | 1.42 | 0.7 | 8105 | 83 |
| handling categorical data in machine learning | 0.56 | 0.6 | 2978 | 36 |
| handle categorical data in machine learning | 1.19 | 0.1 | 7235 | 22 |
| machine learning to categorize data | 0.01 | 0.3 | 7404 | 86 |
| categorical variables machine learning | 0.95 | 0.7 | 8608 | 54 |
| categorical values in machine learning | 0.07 | 1 | 7685 | 67 |
| encoding categorical data in machine learning | 0.43 | 0.5 | 6909 | 94 |
| machine learning data model | 0.28 | 0.2 | 9227 | 98 |
| categorical features in machine learning | 1.3 | 1 | 9443 | 48 |
| machine learning models for classification | 1.06 | 0.3 | 1123 | 61 |
| machine learning models pdf | 0.04 | 0.5 | 1114 | 76 |
| category theory and machine learning | 0.86 | 1 | 8057 | 16 |
| explainable machine learning models | 0.97 | 0.7 | 4033 | 70 |
