feat: setup lab4 environment
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.venv/
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__pycache__/
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*.pyc
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.ipynb_checkpoints/
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# Default ignored files
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/shelf/
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/workspace.xml
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# Editor-based HTTP Client requests
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/httpRequests/
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<component name="InspectionProjectProfileManager">
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<profile version="1.0">
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<option name="myName" value="Project Default" />
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<inspection_tool class="PyInterpreterInspection" enabled="false" level="WARNING" enabled_by_default="false" />
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<inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
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<option name="ignoredPackages">
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<list>
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<option value="python-dotenv" />
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</list>
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</option>
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</inspection_tool>
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</profile>
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</component>
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<component name="InspectionProjectProfileManager">
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<settings>
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<option name="USE_PROJECT_PROFILE" value="false" />
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<version value="1.0" />
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</settings>
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</component>
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$">
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<excludeFolder url="file://$MODULE_DIR$/.venv" />
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</content>
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<orderEntry type="jdk" jdkName="Python 3.14 (lab4_networks)" jdkType="Python SDK" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</module>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="Black">
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<option name="sdkName" value="Python 3.14 (lab4_networks)" />
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</component>
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.14 (lab4_networks)" project-jdk-type="Python SDK" />
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</project>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectModuleManager">
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/lab4_networks.iml" filepath="$PROJECT_DIR$/.idea/lab4_networks.iml" />
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</modules>
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</component>
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</project>
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# Учебная практика №2. Задание №4
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## Тема
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Искусственные нейронные сети: первые шаги.
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## Описание
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В работе используется JupyterLab и библиотека scikit-learn для построения и обучения моделей машинного обучения.
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## Используемые библиотеки
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- scikit-learn
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- matplotlib
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- pandas
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- openml
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- jupyterlab
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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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