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*.ipynb eol=lf
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# IDE # IDE
.vscode/ .vscode/
.idea/ .idea/.ipynb_checkpoints/
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# Проект по машинному обучению
Анализ данных с использованием Scikit-learn
## Установка
1. `python -m venv myenv`
2. `.\myenv\Scripts\Activate.ps1`
3. `pip install -r requirements.txt`
4. `jupyter lab`
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@@ -57,6 +57,7 @@ nbclient==0.10.2
nbconvert==7.16.6 nbconvert==7.16.6
nbformat==5.10.4 nbformat==5.10.4
nest-asyncio==1.6.0 nest-asyncio==1.6.0
notebook==7.4.2
notebook_shim==0.2.4 notebook_shim==0.2.4
numpy==2.2.5 numpy==2.2.5
openml==0.15.1 openml==0.15.1
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