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docs: adding quotes in the binary class tutorial
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Mauro Mariniello authored and Mauro Mariniello committed Jul 8, 2024
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19 changes: 16 additions & 3 deletions docs/quickstarts/README.md
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Expand Up @@ -14,10 +14,23 @@ After you have poetry installed you can install the project's dependencies run:
poetry install
```

Then, activate an environment:

```bash
poetry shell
```

If you apply any change in the requirements, don't forget to run the following command:

```bash
poetry update
```


### Tutorials ###

| Task | Tutorial Name | Dataset to use | Description |
|-----------------------|---------------------------------------------------|-------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------|
| Binary Classification | notebooks/binary-classification-income-data.ipynb | data/binary_classification/reference-income.csv, data/binary_classification/current1-income.csv| In this tutorial we monitor data and performance of a ML used to classify if the income is > 50K given a set of features. |
| Task | Tutorial Name | Dataset to use | Dataset license | Description |
|-----------------------|---------------------------------------------------|-------------------------------------------------------------------------------------------------|-------------------|---------------------------------------------------------------------------------------------------------------------------|
| Binary Classification | notebooks/binary-classification-income-data.ipynb | data/binary_classification/reference-income.csv, data/binary_classification/current1-income.csv|Kohavi,Ron. (1996). Census Income. UCI Machine Learning Repository. https://doi.org/10.24432/C5GP7S. Adapted by Radicalbit. | In this tutorial we monitor data and performance of a ML used to classify if the income is > 50K given a set of features. |


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Expand Up @@ -77,7 +77,10 @@
"\n",
"In this example we will use a dataset build to classify between two different classes:\n",
"- **class 0:** income <= 50K\n",
"- **class 1:** income > 50K"
"- **class 1:** income > 50K\n",
"\n",
"\n",
"> **_Dataset license:_** Kohavi,Ron. (1996). Census Income. UCI Machine Learning Repository. https://doi.org/10.24432/C5GP7S. Adapted by Radicalbit."
]
},
{
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