ML in Business — John C. Hull
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- Sep 19, 2020
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Description
This is the data used in Jupyter Notebook examples in John C. Hull's "Machine Learning in Business".Dataset content (1 files)
| countryriskdata.csv | 4 KB | Download |
File preview: countryriskdata.csv (6 columns)
| Country | Abbrev | Corruption | Peace | Legal | GDP Growth |
|---|---|---|---|---|---|
| Albania | AL | 39 | 1.867 | 3.822 | 3.403 |
| Algeria | DZ | 34 | 2.213 | 4.16 | 4.202 |
| Argentina | AR | 36 | 1.957 | 4.568 | -2.298 |
| Armenia | AM | 33 | 2.218 | 4.126 | 0.208 |
| Australia | AU | 79 | 1.465 | 8.244 | 2.471 |
| Austria | AT | 75 | 1.278 | 8.012 | 1.482 |
| Azerbaijan | AZ | 30 | 2.45 | 3.946 | -3.772 |
| Bahrain | BH | 43 | 2.398 | 6.157 | 2.915 |
| Bangladesh | BD | 26 | 2.045 | 3.117 | 6.923 |
| Belgium | BE | 77 | 1.528 | 7.839 | 1.239 |
| Benin | BJ | 36 | 1.998 | 4.583 | 4.027 |
| Bolivia | BO | 33 | 2.038 | 3.971 | 4.1 |
| Bosnia and Herzegovina | BA | 39 | 1.915 | 3.917 | 2.5 |
| Botswana | BW | 60 | 1.639 | 6.126 | 2.864 |
| Brazil | BR | 40 | 2.176 | 5.434 | -3.595 |
| Bulgaria | BG | 41 | 1.646 | 4.813 | 3.443 |
| Burundi | BI | 20 | 2.5 | 3.43 | -1.042 |
| Cameroon | CM | 26 | 2.356 | 4.294 | 4.443 |
| Canada | CA | 82 | 1.388 | 8.179 | 1.433 |
| Chad | TD | 20 | 2.464 | 3.891 | -6.373 |
| Chile | CL | 66 | 1.635 | 6.926 | 1.555 |
| China | CN | 40 | 2.288 | 5.712 | 6.7 |
| Colombia | CO | 37 | 2.764 | 5.354 | 1.96 |
| Costa Rica | CR | 58 | 1.699 | 6.06 | 4.329 |
| Croatia | HR | 49 | 1.633 | 4.754 | 2.93 |
| Cyprus | CY | 55 | 1.924 | 5.447 | 2.836 |
| Czech Republic | CI | 55 | 1.36 | 6.86 | 2.408 |
| Democratic Republic of Congo | CI | 21 | 3.112 | 3.818 | 2.4 |
| Denmark | DK | 90 | 1.246 | 8.158 | 1.137 |
| Dominican Republic | DO | 31 | 2.143 | 4.823 | 6.567 |
| Ecuador | EC | 31 | 2.02 | 4.627 | -2.168 |
| Egypt | EG | 34 | 2.574 | 4.433 | 4.298 |
| El Salvador | SV | 36 | 2.237 | 4.945 | 2.4 |
| Estonia | EE | 70 | 1.732 | 7.199 | 1.573 |
| Ethiopia | ET | 34 | 2.284 | 4.718 | 7.958 |
| Finland | FI | 89 | 1.429 | 8.626 | 1.387 |
| France | FR | 69 | 1.829 | 7.336 | 1.213 |
| Gabon | GA | 35 | 2.033 | 4.694 | 2.263 |
| Georgia | GE | 57 | 2.057 | 4.707 | 2.723 |
| Germany | DE | 81 | 1.486 | 7.959 | 1.774 |
| Ghana | GH | 43 | 1.809 | 5.646 | 4.041 |
| Greece | GR | 44 | 2.044 | 5.389 | 0.012 |
| Guatemala | GT | 28 | 2.27 | 5.077 | 3 |
| Honduras | HN | 30 | 2.237 | 4.902 | 3.6 |
| Hungary | HU | 48 | 1.534 | 5.992 | 2 |
| Iceland | IS | 78 | 1.192 | 7.7 | 7.2 |
| India | IN | 40 | 2.566 | 5.564 | 6.828 |
| Indonesia | ID | 37 | 1.799 | 5.167 | 5.016 |
| Iran | ID | 29 | 2.411 | 4.521 | 6.544 |
| Ireland | IE | 73 | 1.433 | 7.872 | 5.222 |