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*.ipynb eol=lf
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@@ -16,4 +16,4 @@ __pycache__/
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# IDE
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.vscode/
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.idea/
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.idea/.ipynb_checkpoints/
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# Проект по машинному обучению
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Анализ данных с использованием Scikit-learn
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## Установка
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1. `python -m venv myenv`
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2. `.\myenv\Scripts\Activate.ps1`
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3. `pip install -r requirements.txt`
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4. `jupyter lab`
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@@ -57,6 +57,7 @@ nbclient==0.10.2
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nbconvert==7.16.6
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nbformat==5.10.4
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nest-asyncio==1.6.0
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notebook==7.4.2
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notebook_shim==0.2.4
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numpy==2.2.5
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openml==0.15.1
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