573 lines
162 KiB
Plaintext
573 lines
162 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1. Цены на мобильные телефоны https://www.kaggle.com/datasets/dewangmoghe/mobile-phone-price-prediction\n",
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"2. Цены на акции Starbucks https://www.kaggle.com/datasets/mayankanand2701/starbucks-stock-price-dataset\n",
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"3. Цены на золото https://www.kaggle.com/datasets/sid321axn/gold-price-prediction-dataset"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Датасет 1. Цены мобильных телефонов**\n",
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"1. **Name**: Название модели мобильного телефона.\n",
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"2. **Rating**: Рейтинг мобильного телефона (по отзывам пользователей).\n",
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"3. **Spec_score**: Оценка спецификаций телефона (возможно, по различным характеристикам).\n",
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"4. **No_of_sim**: Количество SIM-карт, поддерживаемых телефоном.\n",
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"5. **Ram**: Объем оперативной памяти (RAM) в гигабайтах.\n",
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"6. **Battery**: Емкость батареи в мАч.\n",
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"7. **Display**: Размер дисплея в дюймах.\n",
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"8. **Camera**: Разрешение камеры (в мегапикселях).\n",
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"9. **External_Memory**: Поддержка внешней памяти (да/нет).\n",
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"10. **Android_version**: Версия операционной системы Android.\n",
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"11. **Price**: Цена мобильного телефона в долларах США.\n",
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"12. **Company**: Производитель телефона.\n",
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"13. **Inbuilt_memory**: Объем встроенной памяти (в гигабайтах).\n",
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"14. **Fast_charging**: Наличие быстрой зарядки (да/нет).\n",
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"15. **Screen_resolution**: Разрешение экрана (в пикселях).\n",
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"16. **Processor**: Тип процессора.\n",
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"17. **Processor_name**: Наименование процессора.\n",
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"\n",
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"**Объект наблюдения**: Каждый объект представляет собой отдельный мобильный телефон.\\\n",
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"**Связи между объектами**: Внутри одного объекта есть взаимосвязь между характеристиками и его ценой. Например, объем оперативной памяти, емкость батареи, качество камеры и поддержка быстрой зарядки могут влиять на цену.\\\n",
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"**Бизнес-цель**: Оптимизация продаж мобильных телефонов, оценка цен в зависимости от характеристик.\\\n",
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"**Эффект для бизнеса**: Более точная оценка стоимости мобильных телефонов может помочь производителям предлагать конкурентоспособные цены и максимизировать прибыль.\\\n",
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"**Техническая цель**: Построение модели машинного обучения для прогнозирования цены мобильного телефона на основе его характеристик.\\\n",
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"* **Вход**: Характеристики мобильного телефона (объем RAM, емкость батареи, качество камеры и т.д.).\\\n",
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"* **Целевой признак**: Цена мобильного телефона. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Index(['id', 'Name', 'Rating', 'Spec_score', 'No_of_sim', 'Ram', 'Battery',\n",
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" 'Display', 'Camera', 'External_Memory', 'Android_version', 'Price',\n",
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" 'company', 'Inbuilt_memory', 'fast_charging', 'Screen_resolution',\n",
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" 'Processor', 'Processor_name'],\n",
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" dtype='object')\n",
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"Зашумленные столбцы: []\n",
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"Смещение: id 0.000000\n",
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"Name -0.023604\n",
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"Rating -0.066979\n",
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"Spec_score -0.739377\n",
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"No_of_sim 1.664627\n",
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"Ram -0.899798\n",
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"Battery -0.814522\n",
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"Display -0.101507\n",
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"Camera -0.259205\n",
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"External_Memory -2.033547\n",
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"Android_version 0.584967\n",
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"Price 0.080087\n",
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"company -0.760020\n",
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"Inbuilt_memory 1.061234\n",
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"fast_charging 0.217571\n",
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"Screen_resolution 0.702418\n",
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"Processor -5.671454\n",
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"Processor_name -0.159994\n",
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"dtype: float64\n",
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"Сильно смещенные столбцы: ['No_of_sim', 'External_Memory', 'Inbuilt_memory', 'Processor']\n",
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"Выбросы в столбце 'id':\n",
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"Series([], Name: id, dtype: int64)\n",
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"\n",
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"Выбросы в столбце 'Name':\n",
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"Series([], Name: Name, dtype: int64)\n",
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"\n",
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"Выбросы в столбце 'Rating':\n",
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"Series([], Name: Rating, dtype: float64)\n",
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"\n",
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"Выбросы в столбце 'Spec_score':\n",
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"91 42\n",
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"99 54\n",
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"122 51\n",
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"125 53\n",
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"214 58\n",
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"234 58\n",
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"651 57\n",
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"713 54\n",
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"719 49\n",
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"802 53\n",
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"803 54\n",
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"1142 46\n",
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"1231 57\n",
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"1239 56\n",
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"1344 55\n",
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"1346 55\n",
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"1348 57\n",
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"Name: Spec_score, dtype: int64\n",
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"\n",
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"Выбросы в столбце 'No_of_sim':\n",
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"394 8\n",
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"628 8\n",
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"644 7\n",
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"951 8\n",
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"967 8\n",
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"971 8\n",
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"1052 8\n",
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"Name: No_of_sim, dtype: int64\n",
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"\n",
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"Выбросы в столбце 'Ram':\n",
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"91 0\n",
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"719 1\n",
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"Name: Ram, dtype: int64\n",
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"\n",
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"Выбросы в столбце 'Battery':\n",
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"0 86\n",
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"1 20\n",
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"3 85\n",
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"6 86\n",
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"9 86\n",
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" ..\n",
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"1344 8\n",
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"1346 7\n",
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"1349 8\n",
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"1350 7\n",
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"1364 20\n",
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"Name: Battery, Length: 247, dtype: int64\n",
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"\n",
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"Выбросы в столбце 'Display':\n",
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"76 87\n",
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"78 84\n",
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"91 2\n",
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"122 6\n",
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"125 7\n",
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"197 86\n",
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"198 87\n",
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"199 86\n",
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"200 86\n",
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"201 86\n",
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"202 85\n",
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"204 86\n",
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"205 86\n",
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"264 3\n",
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"397 80\n",
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"538 1\n",
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"600 83\n",
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"607 83\n",
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"608 83\n",
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"609 82\n",
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"610 82\n",
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"612 84\n",
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"628 8\n",
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"629 9\n",
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"648 88\n",
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"650 85\n",
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"662 10\n",
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"663 10\n",
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"665 11\n",
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"688 6\n",
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"715 9\n",
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"719 5\n",
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"923 84\n",
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"1042 5\n",
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"1118 80\n",
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"1142 5\n",
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"1226 81\n",
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"1227 81\n",
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"1228 82\n",
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"1246 4\n",
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"1369 0\n",
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"Name: Display, dtype: int64\n",
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"\n",
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"Выбросы в столбце 'Camera':\n",
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"Series([], Name: Camera, dtype: int64)\n",
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"\n",
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"Выбросы в столбце 'External_Memory':\n",
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"45 3\n",
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"55 3\n",
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"56 3\n",
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"66 3\n",
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"72 18\n",
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"76 8\n",
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"77 15\n",
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"78 16\n",
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"79 15\n",
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"80 15\n",
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"81 15\n",
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"83 15\n",
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"84 15\n",
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"85 15\n",
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"192 19\n",
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"198 6\n",
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"202 12\n",
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"203 7\n",
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"204 17\n",
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"211 19\n",
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"264 13\n",
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"388 29\n",
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"391 28\n",
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"392 1\n",
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"396 0\n",
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"597 20\n",
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"600 25\n",
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"603 27\n",
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"606 26\n",
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"612 2\n",
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"644 10\n",
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"649 9\n",
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"650 14\n",
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"672 22\n",
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"924 28\n",
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"1040 4\n",
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"1045 4\n",
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"1046 24\n",
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"1048 21\n",
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"1049 24\n",
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"1051 24\n",
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"1052 5\n",
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"1268 11\n",
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"1270 11\n",
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"1291 23\n",
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"1369 30\n",
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"Name: External_Memory, dtype: int64\n",
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"\n",
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"Выбросы в столбце 'Android_version':\n",
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"Series([], Name: Android_version, dtype: int64)\n",
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"\n",
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"Выбросы в столбце 'Price':\n",
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"Series([], Name: Price, dtype: int64)\n",
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"\n",
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"Выбросы в столбце 'company':\n",
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"Series([], Name: company, dtype: int64)\n",
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"\n",
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"Выбросы в столбце 'Inbuilt_memory':\n",
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"2 7\n",
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"3 7\n",
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"4 7\n",
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"6 7\n",
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"7 7\n",
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" ..\n",
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"1357 7\n",
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"1358 7\n",
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"1359 7\n",
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"1363 7\n",
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"1365 7\n",
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"Name: Inbuilt_memory, Length: 205, dtype: int64\n",
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"\n",
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"Выбросы в столбце 'fast_charging':\n",
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"Series([], Name: fast_charging, dtype: int64)\n",
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"\n",
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"Выбросы в столбце 'Screen_resolution':\n",
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"Series([], Name: Screen_resolution, dtype: int64)\n",
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"\n",
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"Выбросы в столбце 'Processor':\n",
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"0 12\n",
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"1 2\n",
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"2 4\n",
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"16 14\n",
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"22 14\n",
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" ..\n",
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"1322 12\n",
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"1342 12\n",
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"1346 13\n",
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"1348 14\n",
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"1350 13\n",
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"Name: Processor, Length: 133, dtype: int64\n",
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"\n",
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"Выбросы в столбце 'Processor_name':\n",
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"Series([], Name: Processor_name, dtype: int64)\n",
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"\n"
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]
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},
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{
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"data": {
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"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x800 with 18 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Просачивание данных: Высокая корреляция (-0.26) между столбцами 'id' и 'Name'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.30) между столбцами 'id' и 'company'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.26) между столбцами 'Name' и 'id'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.21) между столбцами 'Name' и 'Android_version'\n",
|
||
"Просачивание данных: Высокая корреляция (0.96) между столбцами 'Name' и 'company'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.44) между столбцами 'Spec_score' и 'No_of_sim'\n",
|
||
"Просачивание данных: Высокая корреляция (0.49) между столбцами 'Spec_score' и 'Display'\n",
|
||
"Просачивание данных: Высокая корреляция (0.22) между столбцами 'Spec_score' и 'Camera'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.46) между столбцами 'Spec_score' и 'External_Memory'\n",
|
||
"Просачивание данных: Высокая корреляция (0.35) между столбцами 'Spec_score' и 'Android_version'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.27) между столбцами 'Spec_score' и 'Inbuilt_memory'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.47) между столбцами 'Spec_score' и 'Screen_resolution'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.44) между столбцами 'No_of_sim' и 'Spec_score'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.26) между столбцами 'No_of_sim' и 'Display'\n",
|
||
"Просачивание данных: Высокая корреляция (0.20) между столбцами 'No_of_sim' и 'External_Memory'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.22) между столбцами 'No_of_sim' и 'Android_version'\n",
|
||
"Просачивание данных: Высокая корреляция (0.26) между столбцами 'No_of_sim' и 'Inbuilt_memory'\n",
|
||
"Просачивание данных: Высокая корреляция (0.30) между столбцами 'No_of_sim' и 'Screen_resolution'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.26) между столбцами 'Ram' и 'Display'\n",
|
||
"Просачивание данных: Высокая корреляция (0.22) между столбцами 'Ram' и 'External_Memory'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.22) между столбцами 'Ram' и 'Android_version'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.36) между столбцами 'Ram' и 'Inbuilt_memory'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.23) между столбцами 'Ram' и 'Screen_resolution'\n",
|
||
"Просачивание данных: Высокая корреляция (0.23) между столбцами 'Battery' и 'Display'\n",
|
||
"Просачивание данных: Высокая корреляция (0.23) между столбцами 'Battery' и 'External_Memory'\n",
|
||
"Просачивание данных: Высокая корреляция (0.49) между столбцами 'Display' и 'Spec_score'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.26) между столбцами 'Display' и 'No_of_sim'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.26) между столбцами 'Display' и 'Ram'\n",
|
||
"Просачивание данных: Высокая корреляция (0.23) между столбцами 'Display' и 'Battery'\n",
|
||
"Просачивание данных: Высокая корреляция (0.24) между столбцами 'Display' и 'Camera'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.45) между столбцами 'Display' и 'External_Memory'\n",
|
||
"Просачивание данных: Высокая корреляция (0.21) между столбцами 'Display' и 'Android_version'\n",
|
||
"Просачивание данных: Высокая корреляция (0.22) между столбцами 'Camera' и 'Spec_score'\n",
|
||
"Просачивание данных: Высокая корреляция (0.24) между столбцами 'Camera' и 'Display'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.34) между столбцами 'Camera' и 'External_Memory'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.46) между столбцами 'External_Memory' и 'Spec_score'\n",
|
||
"Просачивание данных: Высокая корреляция (0.20) между столбцами 'External_Memory' и 'No_of_sim'\n",
|
||
"Просачивание данных: Высокая корреляция (0.22) между столбцами 'External_Memory' и 'Ram'\n",
|
||
"Просачивание данных: Высокая корреляция (0.23) между столбцами 'External_Memory' и 'Battery'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.45) между столбцами 'External_Memory' и 'Display'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.34) между столбцами 'External_Memory' и 'Camera'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.63) между столбцами 'External_Memory' и 'Android_version'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.21) между столбцами 'External_Memory' и 'Processor_name'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.21) между столбцами 'Android_version' и 'Name'\n",
|
||
"Просачивание данных: Высокая корреляция (0.35) между столбцами 'Android_version' и 'Spec_score'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.22) между столбцами 'Android_version' и 'No_of_sim'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.22) между столбцами 'Android_version' и 'Ram'\n",
|
||
"Просачивание данных: Высокая корреляция (0.21) между столбцами 'Android_version' и 'Display'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.63) между столбцами 'Android_version' и 'External_Memory'\n",
|
||
"Просачивание данных: Высокая корреляция (0.21) между столбцами 'Android_version' и 'Price'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.24) между столбцами 'Android_version' и 'company'\n",
|
||
"Просачивание данных: Высокая корреляция (0.21) между столбцами 'Price' и 'Android_version'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.30) между столбцами 'company' и 'id'\n",
|
||
"Просачивание данных: Высокая корреляция (0.96) между столбцами 'company' и 'Name'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.24) между столбцами 'company' и 'Android_version'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.27) между столбцами 'Inbuilt_memory' и 'Spec_score'\n",
|
||
"Просачивание данных: Высокая корреляция (0.26) между столбцами 'Inbuilt_memory' и 'No_of_sim'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.36) между столбцами 'Inbuilt_memory' и 'Ram'\n",
|
||
"Просачивание данных: Высокая корреляция (0.29) между столбцами 'Inbuilt_memory' и 'Screen_resolution'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.47) между столбцами 'Screen_resolution' и 'Spec_score'\n",
|
||
"Просачивание данных: Высокая корреляция (0.30) между столбцами 'Screen_resolution' и 'No_of_sim'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.23) между столбцами 'Screen_resolution' и 'Ram'\n",
|
||
"Просачивание данных: Высокая корреляция (0.29) между столбцами 'Screen_resolution' и 'Inbuilt_memory'\n",
|
||
"Просачивание данных: Высокая корреляция (-0.21) между столбцами 'Processor_name' и 'External_Memory'\n",
|
||
"@data Ram Price company\n",
|
||
"0 10 442 19\n",
|
||
"1 6 440 19\n",
|
||
"2 10 79 19\n",
|
||
"3 10 79 19\n",
|
||
"4 10 79 19\n",
|
||
"... ... ... ...\n",
|
||
"1365 10 158 20\n",
|
||
"1366 14 207 20\n",
|
||
"1367 12 199 20\n",
|
||
"1368 12 189 20\n",
|
||
"1369 2 18 20\n",
|
||
"\n",
|
||
"[1370 rows x 3 columns]\n",
|
||
"Обучающая выборка: (819, 3)\n",
|
||
"Ram\n",
|
||
"14 327\n",
|
||
"10 151\n",
|
||
"2 151\n",
|
||
"12 115\n",
|
||
"9 25\n",
|
||
"4 20\n",
|
||
"6 14\n",
|
||
"3 5\n",
|
||
"5 4\n",
|
||
"8 4\n",
|
||
"11 2\n",
|
||
"15 1\n",
|
||
"Name: count, dtype: int64\n",
|
||
"Контрольная выборка: (273, 3)\n",
|
||
"Ram\n",
|
||
"14 98\n",
|
||
"10 56\n",
|
||
"12 49\n",
|
||
"2 43\n",
|
||
"4 10\n",
|
||
"9 8\n",
|
||
"6 4\n",
|
||
"11 1\n",
|
||
"8 1\n",
|
||
"1 1\n",
|
||
"7 1\n",
|
||
"13 1\n",
|
||
"Name: count, dtype: int64\n",
|
||
"Тестовая выборка: (273, 3)\n",
|
||
"Ram\n",
|
||
"14 101\n",
|
||
"2 52\n",
|
||
"12 49\n",
|
||
"10 45\n",
|
||
"4 11\n",
|
||
"9 5\n",
|
||
"6 3\n",
|
||
"8 3\n",
|
||
"3 2\n",
|
||
"7 1\n",
|
||
"0 1\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"import pandas as pd\n",
|
||
"from sklearn.feature_selection import mutual_info_regression\n",
|
||
"from sklearn.model_selection import train_test_split\n",
|
||
"from sklearn.preprocessing import LabelEncoder\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import seaborn as sns\n",
|
||
"\n",
|
||
"df = pd.read_csv(\"data/mobile_prices.csv\")\n",
|
||
"print(df.columns)\n",
|
||
"\n",
|
||
"# Кодируем все строковые столбцы в числовые\n",
|
||
"label_encoders = {}\n",
|
||
"for col in df.select_dtypes(include=[\"object\"]).columns:\n",
|
||
" le = LabelEncoder()\n",
|
||
" df[col] = le.fit_transform(df[col])\n",
|
||
" label_encoders[col] = le\n",
|
||
"\n",
|
||
"# Проверка на пропуски и \"зашумленные\" столбцы\n",
|
||
"noisy_features = []\n",
|
||
"for col in df.columns:\n",
|
||
" if df[col].isnull().sum() / len(df) > 0.1: # Если более 10% пропусков\n",
|
||
" noisy_features.append(col)\n",
|
||
"print(f\"Зашумленные столбцы: {noisy_features}\")\n",
|
||
"\n",
|
||
"# Проверка на смещение\n",
|
||
"skewness = df.skew()\n",
|
||
"print(f\"Смещение: {skewness}\")\n",
|
||
"\n",
|
||
"skewed_features = skewness[abs(skewness) > 1].index.tolist()\n",
|
||
"print(f\"Сильно смещенные столбцы: {skewed_features}\")\n",
|
||
"\n",
|
||
"# Поиск выбросов\n",
|
||
"for col in df.select_dtypes(include=[\"number\"]).columns:\n",
|
||
" Q1 = df[col].quantile(0.25)\n",
|
||
" Q3 = df[col].quantile(0.75)\n",
|
||
" IQR = Q3 - Q1\n",
|
||
" lower_bound = Q1 - 1.5 * IQR\n",
|
||
" upper_bound = Q3 + 1.5 * IQR\n",
|
||
" outliers = df[col][(df[col] < lower_bound) | (df[col] > upper_bound)]\n",
|
||
" print(f\"Выбросы в столбце '{col}':\\n{outliers}\\n\")\n",
|
||
"\n",
|
||
"# Визуализация выбросов\n",
|
||
"numeric_cols = df.select_dtypes(include=[\"number\"]).columns\n",
|
||
"\n",
|
||
"plt.figure(figsize=(12, 8))\n",
|
||
"for i, col in enumerate(numeric_cols, 1):\n",
|
||
" plt.subplot(len(numeric_cols) // 3 + 1, 3, i)\n",
|
||
" sns.boxplot(data=df, x=col)\n",
|
||
" plt.title(f\"Boxplot for {col}\")\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"if len(df.columns) >= 2:\n",
|
||
" for col1 in df.columns:\n",
|
||
" for col2 in df.columns:\n",
|
||
" if col1 != col2:\n",
|
||
" correlation = df[col1].corr(df[col2])\n",
|
||
" if abs(correlation) > 0.2:\n",
|
||
" print(f\"Просачивание данных: Высокая корреляция ({correlation:.2f}) между столбцами '{col1}' и '{col2}'\")\n",
|
||
"\n",
|
||
"# Логарифмирование признака 'Battery'\n",
|
||
"df[\"log_Battery\"] = np.log(df[\"Battery\"] + 1)\n",
|
||
"\n",
|
||
"# Заполнение пропусков\n",
|
||
"df[\"Battery\"] = df[\"Battery\"].fillna(df[\"Battery\"].mean())\n",
|
||
"\n",
|
||
"\n",
|
||
"# Функция для разбиения на train/val/test\n",
|
||
"def split_stratified_into_train_val_test(\n",
|
||
" df_input,\n",
|
||
" stratify_colname=\"y\",\n",
|
||
" frac_train=0.6,\n",
|
||
" frac_val=0.15,\n",
|
||
" frac_test=0.25,\n",
|
||
" random_state=None,\n",
|
||
"):\n",
|
||
" if frac_train + frac_val + frac_test != 1.0:\n",
|
||
" raise ValueError(\n",
|
||
" \"fractions %f, %f, %f do not add up to 1.0\"\n",
|
||
" % (frac_train, frac_val, frac_test)\n",
|
||
" )\n",
|
||
"\n",
|
||
" if stratify_colname not in df_input.columns:\n",
|
||
" raise ValueError(\"%s is not a column in the dataframe\" % (stratify_colname))\n",
|
||
"\n",
|
||
" X = df_input\n",
|
||
" y = df_input[[stratify_colname]]\n",
|
||
"\n",
|
||
" df_train, df_temp, y_train, y_temp = train_test_split(\n",
|
||
" X, y, stratify=y, test_size=(1.0 - frac_train), random_state=random_state\n",
|
||
" )\n",
|
||
" relative_frac_test = frac_test / (frac_val + frac_test)\n",
|
||
" df_val, df_test, y_val, y_test = train_test_split(\n",
|
||
" df_temp,\n",
|
||
" y_temp,\n",
|
||
" stratify=y_temp,\n",
|
||
" test_size=relative_frac_test,\n",
|
||
" random_state=random_state,\n",
|
||
" )\n",
|
||
"\n",
|
||
" assert len(df_input) == len(df_train) + len(df_val) + len(df_test)\n",
|
||
"\n",
|
||
" return df_train, df_val, df_test\n",
|
||
"\n",
|
||
"\n",
|
||
"# Разбиение на train/val/test\n",
|
||
"data = df[[\"Ram\", \"Price\", \"company\"]].copy()\n",
|
||
"\n",
|
||
"print(\"@data\", data)\n",
|
||
"\n",
|
||
"data = data.groupby(\"company\").filter(\n",
|
||
" lambda x: len(x) > 4\n",
|
||
") # убираем классы с одним элементом\n",
|
||
"\n",
|
||
"df_train, df_val, df_test = split_stratified_into_train_val_test(\n",
|
||
" data, stratify_colname=\"company\", frac_train=0.60, frac_val=0.20, frac_test=0.20\n",
|
||
")\n",
|
||
"\n",
|
||
"print(\"Обучающая выборка: \", df_train.shape)\n",
|
||
"print(df_train[\"Ram\"].value_counts())\n",
|
||
"\n",
|
||
"print(\"Контрольная выборка: \", df_val.shape)\n",
|
||
"print(df_val[\"Ram\"].value_counts())\n",
|
||
"\n",
|
||
"print(\"Тестовая выборка: \", df_test.shape)\n",
|
||
"print(df_test[\"Ram\"].value_counts())"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": ".venv",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.5"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|