feat: setup lab4 environment

This commit is contained in:
2026-05-07 18:18:57 +03:00
commit 51fc177998
10 changed files with 73 additions and 0 deletions
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.venv/
__pycache__/
*.pyc
.ipynb_checkpoints/
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# Default ignored files
/shelf/
/workspace.xml
# Editor-based HTTP Client requests
/httpRequests/
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<component name="InspectionProjectProfileManager">
<profile version="1.0">
<option name="myName" value="Project Default" />
<inspection_tool class="PyInterpreterInspection" enabled="false" level="WARNING" enabled_by_default="false" />
<inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
<option name="ignoredPackages">
<list>
<option value="python-dotenv" />
</list>
</option>
</inspection_tool>
</profile>
</component>
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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>
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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$">
<excludeFolder url="file://$MODULE_DIR$/.venv" />
</content>
<orderEntry type="jdk" jdkName="Python 3.14 (lab4_networks)" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="Black">
<option name="sdkName" value="Python 3.14 (lab4_networks)" />
</component>
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.14 (lab4_networks)" project-jdk-type="Python SDK" />
</project>
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/lab4_networks.iml" filepath="$PROJECT_DIR$/.idea/lab4_networks.iml" />
</modules>
</component>
</project>
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# Учебная практика №2. Задание №4
## Тема
Искусственные нейронные сети: первые шаги.
## Описание
В работе используется JupyterLab и библиотека scikit-learn для построения и обучения моделей машинного обучения.
## Используемые библиотеки
- scikit-learn
- matplotlib
- pandas
- openml
- jupyterlab
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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 5
}