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docs: adding a quickstart for binary classification (#62)
* docs: adding a quickstart for binary classification * docs: set the sdk with the stable version * docs: specify the sdk version --------- Co-authored-by: Mauro Mariniello <[email protected]>
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# Radicalbit Platform Python SDK Examples | ||
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Here will be available some tutorials to start to play with the Radicalbit Platform through the Python SDK. | ||
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### How to set up ### | ||
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The project is based on poetry for managing dependencies. | ||
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You should have poetry installed on your local machine. You can follow the instruction on https://python-poetry.org. | ||
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After you have poetry installed you can install the project's dependencies run: | ||
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```bash | ||
poetry install | ||
``` | ||
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### Tutorials ### | ||
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| 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. | | ||
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