2023-12-07 15:32:26 +04:00
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 # Лабораторная 5
 ## Вариант 9
 ## Задание
 Использовать Ласо-регрессию, самостоятельно  сформулировав  задачу.  Оценить, насколько хорошо она подходит для решения сформулированной вами задачи.
 Задача:
 Можно использовать регрессию для прогнозирования заработной платы на основе опыта работы (experience_level), типа занятости (employment_type), местоположения компании (company_location) и размера компании (company_size).
 ## Описание Программы
 Программа представляет собой пример использования Lasso регрессии для прогнозирования заработной платы на основе различных признаков.
 ### Используемые библиотеки
 - `pandas`: Библиотека для обработки и анализа данных, используется для загрузки и предобработки данных.
 - `scikit-learn`:
 train_test_split: Используется для разделения данных на обучающий и тестовый наборы.
 StandardScaler: Применяется для нормализации числовых признаков.
 OneHotEncoder: Используется для кодирования категориальных признаков.
 Lasso: Линейная модель Lasso для обучения регрессии.
 Pipeline: Позволяет объединять шаги предварительной обработки данных и обучения модели в пайплайн.
 - `matplotlib`: Используется для визуализации коэффициентов модели в виде горизонтальной столбчатой диаграммы.
 - `numpy`: Использована для работы с числовыми данными.
 ### Шаги программы
 **Загрузка данных:**
 Используется библиотека pandas для загрузки данных из файла ds_salaries.csv.
 **Предварительная обработка данных:**
 Категориальные признаки ('experience_level', 'employment_type', 'company_location', 'company_size') обрабатываются с использованием OneHotEncoder, а числовые признаки ('work_year') нормализуются с помощью StandardScaler. Эти шаги объединены в ColumnTransformer и используются в качестве предварительного обработчика данных.
 **Выбор признаков:**
 Определены признаки, которые будут использоваться для обучения модели.
 **Разделение данных:**
 Данные разделены на обучающий и тестовый наборы в соотношении 80/20 с использованием train_test_split.
 **Обучение модели:**
 Используется линейная модель Лассо-регрессия, объединенная с предварительным обработчиком данных в рамках Pipeline.
 **Оценка точности модели:**
 Вычисляется коэффициент детерминации (R^2 Score) и среднеквадратичная ошибка (Mean Squared Error) для оценки точности модели.
 **Вывод предсказанных и фактических значений:**
 Создается DataFrame с фактическими и предсказанными значениями и выводится в консоль.
 **Визуализация весов (коэффициентов) модели:**
 Строится горизонтальная столбчатая диаграмма для визуализации весов (коэффициентов) модели.
 ### Запуск программы
 - Склонировать или скачать код `main.py`.
 - Запустите файл в среде, поддерживающей выполнение Python. `python main.py`
 ### Результаты
 ![](img.png)
 ![](cli_res.png)
 Точность модели составляет всего 39%, что является довольно низким показателем
 MSE довольно высок, что указывает на то, что модель не слишком хорошо соответствует данным и допускает ошибки в предсказаниях
 Фактические и предсказанные значения: видно, что модель часто недооценивает или переоценивает заработную плату. Например, для индексов 563 и 289 фактическая заработная плата выше, чем предсказанная.
 Изменение alfa не особо улучшает общую картину, поэтому, можно сделать вывод, что следует выбрать другой алгоритм.
--- a/degtyarev_mikhail_lab_5/cli_res.png
+++ b/degtyarev_mikhail_lab_5/cli_res.png
--- a/degtyarev_mikhail_lab_5/ds_salaries.csv
+++ b/degtyarev_mikhail_lab_5/ds_salaries.csv
@ -0,0 +1,608 @@
 ,work_year,experience_level,employment_type,job_title,salary,salary_currency,salary_in_usd,employee_residence,remote_ratio,company_location,company_size
 0,2020,MI,FT,Data Scientist,70000,EUR,79833,DE,0,DE,L
 1,2020,SE,FT,Machine Learning Scientist,260000,USD,260000,JP,0,JP,S
 2,2020,SE,FT,Big Data Engineer,85000,GBP,109024,GB,50,GB,M
 3,2020,MI,FT,Product Data Analyst,20000,USD,20000,HN,0,HN,S
 4,2020,SE,FT,Machine Learning Engineer,150000,USD,150000,US,50,US,L
 5,2020,EN,FT,Data Analyst,72000,USD,72000,US,100,US,L
 6,2020,SE,FT,Lead Data Scientist,190000,USD,190000,US,100,US,S
 7,2020,MI,FT,Data Scientist,11000000,HUF,35735,HU,50,HU,L
 8,2020,MI,FT,Business Data Analyst,135000,USD,135000,US,100,US,L
 9,2020,SE,FT,Lead Data Engineer,125000,USD,125000,NZ,50,NZ,S
 10,2020,EN,FT,Data Scientist,45000,EUR,51321,FR,0,FR,S
 11,2020,MI,FT,Data Scientist,3000000,INR,40481,IN,0,IN,L
 12,2020,EN,FT,Data Scientist,35000,EUR,39916,FR,0,FR,M
 13,2020,MI,FT,Lead Data Analyst,87000,USD,87000,US,100,US,L
 14,2020,MI,FT,Data Analyst,85000,USD,85000,US,100,US,L
 15,2020,MI,FT,Data Analyst,8000,USD,8000,PK,50,PK,L
 16,2020,EN,FT,Data Engineer,4450000,JPY,41689,JP,100,JP,S
 17,2020,SE,FT,Big Data Engineer,100000,EUR,114047,PL,100,GB,S
 18,2020,EN,FT,Data Science Consultant,423000,INR,5707,IN,50,IN,M
 19,2020,MI,FT,Lead Data Engineer,56000,USD,56000,PT,100,US,M
 20,2020,MI,FT,Machine Learning Engineer,299000,CNY,43331,CN,0,CN,M
 21,2020,MI,FT,Product Data Analyst,450000,INR,6072,IN,100,IN,L
 22,2020,SE,FT,Data Engineer,42000,EUR,47899,GR,50,GR,L
 23,2020,MI,FT,BI Data Analyst,98000,USD,98000,US,0,US,M
 24,2020,MI,FT,Lead Data Scientist,115000,USD,115000,AE,0,AE,L
 25,2020,EX,FT,Director of Data Science,325000,USD,325000,US,100,US,L
 26,2020,EN,FT,Research Scientist,42000,USD,42000,NL,50,NL,L
 27,2020,SE,FT,Data Engineer,720000,MXN,33511,MX,0,MX,S
 28,2020,EN,CT,Business Data Analyst,100000,USD,100000,US,100,US,L
 29,2020,SE,FT,Machine Learning Manager,157000,CAD,117104,CA,50,CA,L
 30,2020,MI,FT,Data Engineering Manager,51999,EUR,59303,DE,100,DE,S
 31,2020,EN,FT,Big Data Engineer,70000,USD,70000,US,100,US,L
 32,2020,SE,FT,Data Scientist,60000,EUR,68428,GR,100,US,L
 33,2020,MI,FT,Research Scientist,450000,USD,450000,US,0,US,M
 34,2020,MI,FT,Data Analyst,41000,EUR,46759,FR,50,FR,L
 35,2020,MI,FT,Data Engineer,65000,EUR,74130,AT,50,AT,L
 36,2020,MI,FT,Data Science Consultant,103000,USD,103000,US,100,US,L
 37,2020,EN,FT,Machine Learning Engineer,250000,USD,250000,US,50,US,L
 38,2020,EN,FT,Data Analyst,10000,USD,10000,NG,100,NG,S
 39,2020,EN,FT,Machine Learning Engineer,138000,USD,138000,US,100,US,S
 40,2020,MI,FT,Data Scientist,45760,USD,45760,PH,100,US,S
 41,2020,EX,FT,Data Engineering Manager,70000,EUR,79833,ES,50,ES,L
 42,2020,MI,FT,Machine Learning Infrastructure Engineer,44000,EUR,50180,PT,0,PT,M
 43,2020,MI,FT,Data Engineer,106000,USD,106000,US,100,US,L
 44,2020,MI,FT,Data Engineer,88000,GBP,112872,GB,50,GB,L
 45,2020,EN,PT,ML Engineer,14000,EUR,15966,DE,100,DE,S
 46,2020,MI,FT,Data Scientist,60000,GBP,76958,GB,100,GB,S
 47,2020,SE,FT,Data Engineer,188000,USD,188000,US,100,US,L
 48,2020,MI,FT,Data Scientist,105000,USD,105000,US,100,US,L
 49,2020,MI,FT,Data Engineer,61500,EUR,70139,FR,50,FR,L
 50,2020,EN,FT,Data Analyst,450000,INR,6072,IN,0,IN,S
 51,2020,EN,FT,Data Analyst,91000,USD,91000,US,100,US,L
 52,2020,EN,FT,AI Scientist,300000,DKK,45896,DK,50,DK,S
 53,2020,EN,FT,Data Engineer,48000,EUR,54742,PK,100,DE,L
 54,2020,SE,FL,Computer Vision Engineer,60000,USD,60000,RU,100,US,S
 55,2020,SE,FT,Principal Data Scientist,130000,EUR,148261,DE,100,DE,M
 56,2020,MI,FT,Data Scientist,34000,EUR,38776,ES,100,ES,M
 57,2020,MI,FT,Data Scientist,118000,USD,118000,US,100,US,M
 58,2020,SE,FT,Data Scientist,120000,USD,120000,US,50,US,L
 59,2020,MI,FT,Data Scientist,138350,USD,138350,US,100,US,M
 60,2020,MI,FT,Data Engineer,110000,USD,110000,US,100,US,L
 61,2020,MI,FT,Data Engineer,130800,USD,130800,ES,100,US,M
 62,2020,EN,PT,Data Scientist,19000,EUR,21669,IT,50,IT,S
 63,2020,SE,FT,Data Scientist,412000,USD,412000,US,100,US,L
 64,2020,SE,FT,Machine Learning Engineer,40000,EUR,45618,HR,100,HR,S
 65,2020,EN,FT,Data Scientist,55000,EUR,62726,DE,50,DE,S
 66,2020,EN,FT,Data Scientist,43200,EUR,49268,DE,0,DE,S
 67,2020,SE,FT,Data Science Manager,190200,USD,190200,US,100,US,M
 68,2020,EN,FT,Data Scientist,105000,USD,105000,US,100,US,S
 69,2020,SE,FT,Data Scientist,80000,EUR,91237,AT,0,AT,S
 70,2020,MI,FT,Data Scientist,55000,EUR,62726,FR,50,LU,S
 71,2020,MI,FT,Data Scientist,37000,EUR,42197,FR,50,FR,S
 72,2021,EN,FT,Research Scientist,60000,GBP,82528,GB,50,GB,L
 73,2021,EX,FT,BI Data Analyst,150000,USD,150000,IN,100,US,L
 74,2021,EX,FT,Head of Data,235000,USD,235000,US,100,US,L
 75,2021,SE,FT,Data Scientist,45000,EUR,53192,FR,50,FR,L
 76,2021,MI,FT,BI Data Analyst,100000,USD,100000,US,100,US,M
 77,2021,MI,PT,3D Computer Vision Researcher,400000,INR,5409,IN,50,IN,M
 78,2021,MI,CT,ML Engineer,270000,USD,270000,US,100,US,L
 79,2021,EN,FT,Data Analyst,80000,USD,80000,US,100,US,M
 80,2021,SE,FT,Data Analytics Engineer,67000,EUR,79197,DE,100,DE,L
 81,2021,MI,FT,Data Engineer,140000,USD,140000,US,100,US,L
 82,2021,MI,FT,Applied Data Scientist,68000,CAD,54238,GB,50,CA,L
 83,2021,MI,FT,Machine Learning Engineer,40000,EUR,47282,ES,100,ES,S
 84,2021,EX,FT,Director of Data Science,130000,EUR,153667,IT,100,PL,L
 85,2021,MI,FT,Data Engineer,110000,PLN,28476,PL,100,PL,L
 86,2021,EN,FT,Data Analyst,50000,EUR,59102,FR,50,FR,M
 87,2021,MI,FT,Data Analytics Engineer,110000,USD,110000,US,100,US,L
 88,2021,SE,FT,Lead Data Analyst,170000,USD,170000,US,100,US,L
 89,2021,SE,FT,Data Analyst,80000,USD,80000,BG,100,US,S
 90,2021,SE,FT,Marketing Data Analyst,75000,EUR,88654,GR,100,DK,L
 91,2021,EN,FT,Data Science Consultant,65000,EUR,76833,DE,100,DE,S
 92,2021,MI,FT,Lead Data Analyst,1450000,INR,19609,IN,100,IN,L
 93,2021,SE,FT,Lead Data Engineer,276000,USD,276000,US,0,US,L
 94,2021,EN,FT,Data Scientist,2200000,INR,29751,IN,50,IN,L
 95,2021,MI,FT,Cloud Data Engineer,120000,SGD,89294,SG,50,SG,L
 96,2021,EN,PT,AI Scientist,12000,USD,12000,BR,100,US,S
 97,2021,MI,FT,Financial Data Analyst,450000,USD,450000,US,100,US,L
 98,2021,EN,FT,Computer Vision Software Engineer,70000,USD,70000,US,100,US,M
 99,2021,MI,FT,Computer Vision Software Engineer,81000,EUR,95746,DE,100,US,S
 100,2021,MI,FT,Data Analyst,75000,USD,75000,US,0,US,L
 101,2021,SE,FT,Data Engineer,150000,USD,150000,US,100,US,L
 102,2021,MI,FT,BI Data Analyst,11000000,HUF,36259,HU,50,US,L
 103,2021,MI,FT,Data Analyst,62000,USD,62000,US,0,US,L
 104,2021,MI,FT,Data Scientist,73000,USD,73000,US,0,US,L
 105,2021,MI,FT,Data Analyst,37456,GBP,51519,GB,50,GB,L
 106,2021,MI,FT,Research Scientist,235000,CAD,187442,CA,100,CA,L
 107,2021,SE,FT,Data Engineer,115000,USD,115000,US,100,US,S
 108,2021,SE,FT,Data Engineer,150000,USD,150000,US,100,US,M
 109,2021,EN,FT,Data Engineer,2250000,INR,30428,IN,100,IN,L
 110,2021,SE,FT,Machine Learning Engineer,80000,EUR,94564,DE,50,DE,L
 111,2021,SE,FT,Director of Data Engineering,82500,GBP,113476,GB,100,GB,M
 112,2021,SE,FT,Lead Data Engineer,75000,GBP,103160,GB,100,GB,S
 113,2021,EN,PT,AI Scientist,12000,USD,12000,PK,100,US,M
 114,2021,MI,FT,Data Engineer,38400,EUR,45391,NL,100,NL,L
 115,2021,EN,FT,Machine Learning Scientist,225000,USD,225000,US,100,US,L
 116,2021,MI,FT,Data Scientist,50000,USD,50000,NG,100,NG,L
 117,2021,MI,FT,Data Science Engineer,34000,EUR,40189,GR,100,GR,M
 118,2021,EN,FT,Data Analyst,90000,USD,90000,US,100,US,S
 119,2021,MI,FT,Data Engineer,200000,USD,200000,US,100,US,L
 120,2021,MI,FT,Big Data Engineer,60000,USD,60000,ES,50,RO,M
 121,2021,SE,FT,Principal Data Engineer,200000,USD,200000,US,100,US,M
 122,2021,EN,FT,Data Analyst,50000,USD,50000,US,100,US,M
 123,2021,EN,FT,Applied Data Scientist,80000,GBP,110037,GB,0,GB,L
 124,2021,EN,PT,Data Analyst,8760,EUR,10354,ES,50,ES,M
 125,2021,MI,FT,Principal Data Scientist,151000,USD,151000,US,100,US,L
 126,2021,SE,FT,Machine Learning Scientist,120000,USD,120000,US,50,US,S
 127,2021,MI,FT,Data Scientist,700000,INR,9466,IN,0,IN,S
 128,2021,EN,FT,Machine Learning Engineer,20000,USD,20000,IN,100,IN,S
 129,2021,SE,FT,Lead Data Scientist,3000000,INR,40570,IN,50,IN,L
 130,2021,EN,FT,Machine Learning Developer,100000,USD,100000,IQ,50,IQ,S
 131,2021,EN,FT,Data Scientist,42000,EUR,49646,FR,50,FR,M
 132,2021,MI,FT,Applied Machine Learning Scientist,38400,USD,38400,VN,100,US,M
 133,2021,SE,FT,Computer Vision Engineer,24000,USD,24000,BR,100,BR,M
 134,2021,EN,FT,Data Scientist,100000,USD,100000,US,0,US,S
 135,2021,MI,FT,Data Analyst,90000,USD,90000,US,100,US,M
 136,2021,MI,FT,ML Engineer,7000000,JPY,63711,JP,50,JP,S
 137,2021,MI,FT,ML Engineer,8500000,JPY,77364,JP,50,JP,S
 138,2021,SE,FT,Principal Data Scientist,220000,USD,220000,US,0,US,L
 139,2021,EN,FT,Data Scientist,80000,USD,80000,US,100,US,M
 140,2021,MI,FT,Data Analyst,135000,USD,135000,US,100,US,L
 141,2021,SE,FT,Data Science Manager,240000,USD,240000,US,0,US,L
 142,2021,SE,FT,Data Engineering Manager,150000,USD,150000,US,0,US,L
 143,2021,MI,FT,Data Scientist,82500,USD,82500,US,100,US,S
 144,2021,MI,FT,Data Engineer,100000,USD,100000,US,100,US,L
 145,2021,SE,FT,Machine Learning Engineer,70000,EUR,82744,BE,50,BE,M
 146,2021,MI,FT,Research Scientist,53000,EUR,62649,FR,50,FR,M
 147,2021,MI,FT,Data Engineer,90000,USD,90000,US,100,US,L
 148,2021,SE,FT,Data Engineering Manager,153000,USD,153000,US,100,US,L
 149,2021,SE,FT,Cloud Data Engineer,160000,USD,160000,BR,100,US,S
 150,2021,SE,FT,Director of Data Science,168000,USD,168000,JP,0,JP,S
 151,2021,MI,FT,Data Scientist,150000,USD,150000,US,100,US,M
 152,2021,MI,FT,Data Scientist,95000,CAD,75774,CA,100,CA,L
 153,2021,EN,FT,Data Scientist,13400,USD,13400,UA,100,UA,L
 154,2021,SE,FT,Data Science Manager,144000,USD,144000,US,100,US,L
 155,2021,SE,FT,Data Science Engineer,159500,CAD,127221,CA,50,CA,L
 156,2021,MI,FT,Data Scientist,160000,SGD,119059,SG,100,IL,M
 157,2021,MI,FT,Applied Machine Learning Scientist,423000,USD,423000,US,50,US,L
 158,2021,SE,FT,Data Analytics Manager,120000,USD,120000,US,100,US,M
 159,2021,EN,FT,Machine Learning Engineer,125000,USD,125000,US,100,US,S
 160,2021,EX,FT,Head of Data,230000,USD,230000,RU,50,RU,L
 161,2021,EX,FT,Head of Data Science,85000,USD,85000,RU,0,RU,M
 162,2021,MI,FT,Data Engineer,24000,EUR,28369,MT,50,MT,L
 163,2021,EN,FT,Data Science Consultant,54000,EUR,63831,DE,50,DE,L
 164,2021,EX,FT,Director of Data Science,110000,EUR,130026,DE,50,DE,M
 165,2021,SE,FT,Data Specialist,165000,USD,165000,US,100,US,L
 166,2021,EN,FT,Data Engineer,80000,USD,80000,US,100,US,L
 167,2021,EX,FT,Director of Data Science,250000,USD,250000,US,0,US,L
 168,2021,EN,FT,BI Data Analyst,55000,USD,55000,US,50,US,S
 169,2021,MI,FT,Data Architect,150000,USD,150000,US,100,US,L
 170,2021,MI,FT,Data Architect,170000,USD,170000,US,100,US,L
 171,2021,MI,FT,Data Engineer,60000,GBP,82528,GB,100,GB,L
 172,2021,EN,FT,Data Analyst,60000,USD,60000,US,100,US,S
 173,2021,SE,FT,Principal Data Scientist,235000,USD,235000,US,100,US,L
 174,2021,SE,FT,Research Scientist,51400,EUR,60757,PT,50,PT,L
 175,2021,SE,FT,Data Engineering Manager,174000,USD,174000,US,100,US,L
 176,2021,MI,FT,Data Scientist,58000,MXN,2859,MX,0,MX,S
 177,2021,MI,FT,Data Scientist,30400000,CLP,40038,CL,100,CL,L
 178,2021,EN,FT,Machine Learning Engineer,81000,USD,81000,US,50,US,S
 179,2021,MI,FT,Data Scientist,420000,INR,5679,IN,100,US,S
 180,2021,MI,FT,Big Data Engineer,1672000,INR,22611,IN,0,IN,L
 181,2021,MI,FT,Data Scientist,76760,EUR,90734,DE,50,DE,L
 182,2021,MI,FT,Data Engineer,22000,EUR,26005,RO,0,US,L
 183,2021,SE,FT,Finance Data Analyst,45000,GBP,61896,GB,50,GB,L
 184,2021,MI,FL,Machine Learning Scientist,12000,USD,12000,PK,50,PK,M
 185,2021,MI,FT,Data Engineer,4000,USD,4000,IR,100,IR,M
 186,2021,SE,FT,Data Analytics Engineer,50000,USD,50000,VN,100,GB,M
 187,2021,EX,FT,Data Science Consultant,59000,EUR,69741,FR,100,ES,S
 188,2021,SE,FT,Data Engineer,65000,EUR,76833,RO,50,GB,S
 189,2021,MI,FT,Machine Learning Engineer,74000,USD,74000,JP,50,JP,S
 190,2021,SE,FT,Data Science Manager,152000,USD,152000,US,100,FR,L
 191,2021,EN,FT,Machine Learning Engineer,21844,USD,21844,CO,50,CO,M
 192,2021,MI,FT,Big Data Engineer,18000,USD,18000,MD,0,MD,S
 193,2021,SE,FT,Data Science Manager,174000,USD,174000,US,100,US,L
 194,2021,SE,FT,Research Scientist,120500,CAD,96113,CA,50,CA,L
 195,2021,MI,FT,Data Scientist,147000,USD,147000,US,50,US,L
 196,2021,EN,FT,BI Data Analyst,9272,USD,9272,KE,100,KE,S
 197,2021,SE,FT,Machine Learning Engineer,1799997,INR,24342,IN,100,IN,L
 198,2021,SE,FT,Data Science Manager,4000000,INR,54094,IN,50,US,L
 199,2021,EN,FT,Data Science Consultant,90000,USD,90000,US,100,US,S
 200,2021,MI,FT,Data Scientist,52000,EUR,61467,DE,50,AT,M
 201,2021,SE,FT,Machine Learning Infrastructure Engineer,195000,USD,195000,US,100,US,M
 202,2021,MI,FT,Data Scientist,32000,EUR,37825,ES,100,ES,L
 203,2021,SE,FT,Research Scientist,50000,USD,50000,FR,100,US,S
 204,2021,MI,FT,Data Scientist,160000,USD,160000,US,100,US,L
 205,2021,MI,FT,Data Scientist,69600,BRL,12901,BR,0,BR,S
 206,2021,SE,FT,Machine Learning Engineer,200000,USD,200000,US,100,US,L
 207,2021,SE,FT,Data Engineer,165000,USD,165000,US,0,US,M
 208,2021,MI,FL,Data Engineer,20000,USD,20000,IT,0,US,L
 209,2021,SE,FT,Data Analytics Manager,120000,USD,120000,US,0,US,L
 210,2021,MI,FT,Machine Learning Engineer,21000,EUR,24823,SI,50,SI,L
 211,2021,MI,FT,Research Scientist,48000,EUR,56738,FR,50,FR,S
 212,2021,MI,FT,Data Engineer,48000,GBP,66022,HK,50,GB,S
 213,2021,EN,FT,Big Data Engineer,435000,INR,5882,IN,0,CH,L
 214,2021,EN,FT,Machine Learning Engineer,21000,EUR,24823,DE,50,DE,M
 215,2021,SE,FT,Principal Data Engineer,185000,USD,185000,US,100,US,L
 216,2021,EN,PT,Computer Vision Engineer,180000,DKK,28609,DK,50,DK,S
 217,2021,MI,FT,Data Scientist,76760,EUR,90734,DE,50,DE,L
 218,2021,MI,FT,Machine Learning Engineer,75000,EUR,88654,BE,100,BE,M
 219,2021,SE,FT,Data Analytics Manager,140000,USD,140000,US,100,US,L
 220,2021,MI,FT,Machine Learning Engineer,180000,PLN,46597,PL,100,PL,L
 221,2021,MI,FT,Data Scientist,85000,GBP,116914,GB,50,GB,L
 222,2021,MI,FT,Data Scientist,2500000,INR,33808,IN,0,IN,M
 223,2021,MI,FT,Data Scientist,40900,GBP,56256,GB,50,GB,L
 224,2021,SE,FT,Machine Learning Scientist,225000,USD,225000,US,100,CA,L
 225,2021,EX,CT,Principal Data Scientist,416000,USD,416000,US,100,US,S
 226,2021,SE,FT,Data Scientist,110000,CAD,87738,CA,100,CA,S
 227,2021,MI,FT,Data Scientist,75000,EUR,88654,DE,50,DE,L
 228,2021,SE,FT,Data Scientist,135000,USD,135000,US,0,US,L
 229,2021,SE,FT,Data Analyst,90000,CAD,71786,CA,100,CA,M
 230,2021,EN,FT,Big Data Engineer,1200000,INR,16228,IN,100,IN,L
 231,2021,SE,FT,ML Engineer,256000,USD,256000,US,100,US,S
 232,2021,SE,FT,Director of Data Engineering,200000,USD,200000,US,100,US,L
 233,2021,SE,FT,Data Analyst,200000,USD,200000,US,100,US,L
 234,2021,MI,FT,Data Architect,180000,USD,180000,US,100,US,L
 235,2021,MI,FT,Head of Data Science,110000,USD,110000,US,0,US,S
 236,2021,MI,FT,Research Scientist,80000,CAD,63810,CA,100,CA,M
 237,2021,MI,FT,Data Scientist,39600,EUR,46809,ES,100,ES,M
 238,2021,EN,FT,Data Scientist,4000,USD,4000,VN,0,VN,M
 239,2021,EN,FT,Data Engineer,1600000,INR,21637,IN,50,IN,M
 240,2021,SE,FT,Data Scientist,130000,CAD,103691,CA,100,CA,L
 241,2021,MI,FT,Data Analyst,80000,USD,80000,US,100,US,L
 242,2021,MI,FT,Data Engineer,110000,USD,110000,US,100,US,L
 243,2021,SE,FT,Data Scientist,165000,USD,165000,US,100,US,L
 244,2021,EN,FT,AI Scientist,1335000,INR,18053,IN,100,AS,S
 245,2021,MI,FT,Data Engineer,52500,GBP,72212,GB,50,GB,L
 246,2021,EN,FT,Data Scientist,31000,EUR,36643,FR,50,FR,L
 247,2021,MI,FT,Data Engineer,108000,TRY,12103,TR,0,TR,M
 248,2021,SE,FT,Data Engineer,70000,GBP,96282,GB,50,GB,L
 249,2021,SE,FT,Principal Data Analyst,170000,USD,170000,US,100,US,M
 250,2021,MI,FT,Data Scientist,115000,USD,115000,US,50,US,L
 251,2021,EN,FT,Data Scientist,90000,USD,90000,US,100,US,S
 252,2021,EX,FT,Principal Data Engineer,600000,USD,600000,US,100,US,L
 253,2021,EN,FT,Data Scientist,2100000,INR,28399,IN,100,IN,M
 254,2021,MI,FT,Data Analyst,93000,USD,93000,US,100,US,L
 255,2021,SE,FT,Big Data Architect,125000,CAD,99703,CA,50,CA,M
 256,2021,MI,FT,Data Engineer,200000,USD,200000,US,100,US,L
 257,2021,SE,FT,Principal Data Scientist,147000,EUR,173762,DE,100,DE,M
 258,2021,SE,FT,Machine Learning Engineer,185000,USD,185000,US,50,US,L
 259,2021,EX,FT,Director of Data Science,120000,EUR,141846,DE,0,DE,L
 260,2021,MI,FT,Data Scientist,130000,USD,130000,US,50,US,L
 261,2021,SE,FT,Data Analyst,54000,EUR,63831,DE,50,DE,L
 262,2021,MI,FT,Data Scientist,1250000,INR,16904,IN,100,IN,S
 263,2021,SE,FT,Machine Learning Engineer,4900000,INR,66265,IN,0,IN,L
 264,2021,MI,FT,Data Scientist,21600,EUR,25532,RS,100,DE,S
 265,2021,SE,FT,Lead Data Engineer,160000,USD,160000,PR,50,US,S
 266,2021,MI,FT,Data Engineer,93150,USD,93150,US,0,US,M
 267,2021,MI,FT,Data Engineer,111775,USD,111775,US,0,US,M
 268,2021,MI,FT,Data Engineer,250000,TRY,28016,TR,100,TR,M
 269,2021,EN,FT,Data Engineer,55000,EUR,65013,DE,50,DE,M
 270,2021,EN,FT,Data Engineer,72500,USD,72500,US,100,US,L
 271,2021,SE,FT,Computer Vision Engineer,102000,BRL,18907,BR,0,BR,M
 272,2021,EN,FT,Data Science Consultant,65000,EUR,76833,DE,0,DE,L
 273,2021,EN,FT,Machine Learning Engineer,85000,USD,85000,NL,100,DE,S
 274,2021,SE,FT,Data Scientist,65720,EUR,77684,FR,50,FR,M
 275,2021,EN,FT,Data Scientist,100000,USD,100000,US,100,US,M
 276,2021,EN,FT,Data Scientist,58000,USD,58000,US,50,US,L
 277,2021,SE,FT,AI Scientist,55000,USD,55000,ES,100,ES,L
 278,2021,SE,FT,Data Scientist,180000,TRY,20171,TR,50,TR,L
 279,2021,EN,FT,Business Data Analyst,50000,EUR,59102,LU,100,LU,L
 280,2021,MI,FT,Data Engineer,112000,USD,112000,US,100,US,L
 281,2021,EN,FT,Research Scientist,100000,USD,100000,JE,0,CN,L
 282,2021,MI,PT,Data Engineer,59000,EUR,69741,NL,100,NL,L
 283,2021,SE,CT,Staff Data Scientist,105000,USD,105000,US,100,US,M
 284,2021,MI,FT,Research Scientist,69999,USD,69999,CZ,50,CZ,L
 285,2021,SE,FT,Data Science Manager,7000000,INR,94665,IN,50,IN,L
 286,2021,SE,FT,Head of Data,87000,EUR,102839,SI,100,SI,L
 287,2021,MI,FT,Data Scientist,109000,USD,109000,US,50,US,L
 288,2021,MI,FT,Machine Learning Engineer,43200,EUR,51064,IT,50,IT,L
 289,2022,SE,FT,Data Engineer,135000,USD,135000,US,100,US,M
 290,2022,SE,FT,Data Analyst,155000,USD,155000,US,100,US,M
 291,2022,SE,FT,Data Analyst,120600,USD,120600,US,100,US,M
 292,2022,MI,FT,Data Scientist,130000,USD,130000,US,0,US,M
 293,2022,MI,FT,Data Scientist,90000,USD,90000,US,0,US,M
 294,2022,MI,FT,Data Engineer,170000,USD,170000,US,100,US,M
 295,2022,MI,FT,Data Engineer,150000,USD,150000,US,100,US,M
 296,2022,SE,FT,Data Analyst,102100,USD,102100,US,100,US,M
 297,2022,SE,FT,Data Analyst,84900,USD,84900,US,100,US,M
 298,2022,SE,FT,Data Scientist,136620,USD,136620,US,100,US,M
 299,2022,SE,FT,Data Scientist,99360,USD,99360,US,100,US,M
 300,2022,SE,FT,Data Scientist,90000,GBP,117789,GB,0,GB,M
 301,2022,SE,FT,Data Scientist,80000,GBP,104702,GB,0,GB,M
 302,2022,SE,FT,Data Scientist,146000,USD,146000,US,100,US,M
 303,2022,SE,FT,Data Scientist,123000,USD,123000,US,100,US,M
 304,2022,EN,FT,Data Engineer,40000,GBP,52351,GB,100,GB,M
 305,2022,SE,FT,Data Analyst,99000,USD,99000,US,0,US,M
 306,2022,SE,FT,Data Analyst,116000,USD,116000,US,0,US,M
 307,2022,MI,FT,Data Analyst,106260,USD,106260,US,0,US,M
 308,2022,MI,FT,Data Analyst,126500,USD,126500,US,0,US,M
 309,2022,EX,FT,Data Engineer,242000,USD,242000,US,100,US,M
 310,2022,EX,FT,Data Engineer,200000,USD,200000,US,100,US,M
 311,2022,MI,FT,Data Scientist,50000,GBP,65438,GB,0,GB,M
 312,2022,MI,FT,Data Scientist,30000,GBP,39263,GB,0,GB,M
 313,2022,MI,FT,Data Engineer,60000,GBP,78526,GB,0,GB,M
 314,2022,MI,FT,Data Engineer,40000,GBP,52351,GB,0,GB,M
 315,2022,SE,FT,Data Scientist,165220,USD,165220,US,100,US,M
 316,2022,EN,FT,Data Engineer,35000,GBP,45807,GB,100,GB,M
 317,2022,SE,FT,Data Scientist,120160,USD,120160,US,100,US,M
 318,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 319,2022,SE,FT,Data Engineer,181940,USD,181940,US,0,US,M
 320,2022,SE,FT,Data Engineer,132320,USD,132320,US,0,US,M
 321,2022,SE,FT,Data Engineer,220110,USD,220110,US,0,US,M
 322,2022,SE,FT,Data Engineer,160080,USD,160080,US,0,US,M
 323,2022,SE,FT,Data Scientist,180000,USD,180000,US,0,US,L
 324,2022,SE,FT,Data Scientist,120000,USD,120000,US,0,US,L
 325,2022,SE,FT,Data Analyst,124190,USD,124190,US,100,US,M
 326,2022,EX,FT,Data Analyst,130000,USD,130000,US,100,US,M
 327,2022,EX,FT,Data Analyst,110000,USD,110000,US,100,US,M
 328,2022,SE,FT,Data Analyst,170000,USD,170000,US,100,US,M
 329,2022,MI,FT,Data Analyst,115500,USD,115500,US,100,US,M
 330,2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M
 331,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 332,2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M
 333,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 334,2022,SE,FT,Data Engineer,165400,USD,165400,US,100,US,M
 335,2022,SE,FT,Data Engineer,132320,USD,132320,US,100,US,M
 336,2022,MI,FT,Data Analyst,167000,USD,167000,US,100,US,M
 337,2022,SE,FT,Data Engineer,243900,USD,243900,US,100,US,M
 338,2022,SE,FT,Data Analyst,136600,USD,136600,US,100,US,M
 339,2022,SE,FT,Data Analyst,109280,USD,109280,US,100,US,M
 340,2022,SE,FT,Data Engineer,128875,USD,128875,US,100,US,M
 341,2022,SE,FT,Data Engineer,93700,USD,93700,US,100,US,M
 342,2022,EX,FT,Head of Data Science,224000,USD,224000,US,100,US,M
 343,2022,EX,FT,Head of Data Science,167875,USD,167875,US,100,US,M
 344,2022,EX,FT,Analytics Engineer,175000,USD,175000,US,100,US,M
 345,2022,SE,FT,Data Engineer,156600,USD,156600,US,100,US,M
 346,2022,SE,FT,Data Engineer,108800,USD,108800,US,0,US,M
 347,2022,SE,FT,Data Scientist,95550,USD,95550,US,0,US,M
 348,2022,SE,FT,Data Engineer,113000,USD,113000,US,0,US,L
 349,2022,SE,FT,Data Analyst,135000,USD,135000,US,100,US,M
 350,2022,SE,FT,Data Science Manager,161342,USD,161342,US,100,US,M
 351,2022,SE,FT,Data Science Manager,137141,USD,137141,US,100,US,M
 352,2022,SE,FT,Data Scientist,167000,USD,167000,US,100,US,M
 353,2022,SE,FT,Data Scientist,123000,USD,123000,US,100,US,M
 354,2022,SE,FT,Data Engineer,60000,GBP,78526,GB,0,GB,M
 355,2022,SE,FT,Data Engineer,50000,GBP,65438,GB,0,GB,M
 356,2022,SE,FT,Data Scientist,150000,USD,150000,US,0,US,M
 357,2022,SE,FT,Data Scientist,211500,USD,211500,US,100,US,M
 358,2022,SE,FT,Data Architect,192400,USD,192400,CA,100,CA,M
 359,2022,SE,FT,Data Architect,90700,USD,90700,CA,100,CA,M
 360,2022,SE,FT,Data Analyst,130000,USD,130000,CA,100,CA,M
 361,2022,SE,FT,Data Analyst,61300,USD,61300,CA,100,CA,M
 362,2022,SE,FT,Data Analyst,130000,USD,130000,CA,100,CA,M
 363,2022,SE,FT,Data Analyst,61300,USD,61300,CA,100,CA,M
 364,2022,SE,FT,Data Engineer,160000,USD,160000,US,0,US,L
 365,2022,SE,FT,Data Scientist,138600,USD,138600,US,100,US,M
 366,2022,SE,FT,Data Engineer,136000,USD,136000,US,0,US,M
 367,2022,MI,FT,Data Analyst,58000,USD,58000,US,0,US,S
 368,2022,EX,FT,Analytics Engineer,135000,USD,135000,US,100,US,M
 369,2022,SE,FT,Data Scientist,170000,USD,170000,US,100,US,M
 370,2022,SE,FT,Data Scientist,123000,USD,123000,US,100,US,M
 371,2022,SE,FT,Machine Learning Engineer,189650,USD,189650,US,0,US,M
 372,2022,SE,FT,Machine Learning Engineer,164996,USD,164996,US,0,US,M
 373,2022,MI,FT,ETL Developer,50000,EUR,54957,GR,0,GR,M
 374,2022,MI,FT,ETL Developer,50000,EUR,54957,GR,0,GR,M
 375,2022,EX,FT,Lead Data Engineer,150000,CAD,118187,CA,100,CA,S
 376,2022,SE,FT,Data Analyst,132000,USD,132000,US,0,US,M
 377,2022,SE,FT,Data Engineer,165400,USD,165400,US,100,US,M
 378,2022,SE,FT,Data Architect,208775,USD,208775,US,100,US,M
 379,2022,SE,FT,Data Architect,147800,USD,147800,US,100,US,M
 380,2022,SE,FT,Data Engineer,136994,USD,136994,US,100,US,M
 381,2022,SE,FT,Data Engineer,101570,USD,101570,US,100,US,M
 382,2022,SE,FT,Data Analyst,128875,USD,128875,US,100,US,M
 383,2022,SE,FT,Data Analyst,93700,USD,93700,US,100,US,M
 384,2022,EX,FT,Head of Machine Learning,6000000,INR,79039,IN,50,IN,L
 385,2022,SE,FT,Data Engineer,132320,USD,132320,US,100,US,M
 386,2022,EN,FT,Machine Learning Engineer,28500,GBP,37300,GB,100,GB,L
 387,2022,SE,FT,Data Analyst,164000,USD,164000,US,0,US,M
 388,2022,SE,FT,Data Engineer,155000,USD,155000,US,100,US,M
 389,2022,MI,FT,Machine Learning Engineer,95000,GBP,124333,GB,0,GB,M
 390,2022,MI,FT,Machine Learning Engineer,75000,GBP,98158,GB,0,GB,M
 391,2022,MI,FT,AI Scientist,120000,USD,120000,US,0,US,M
 392,2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M
 393,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 394,2022,SE,FT,Data Analytics Manager,145000,USD,145000,US,100,US,M
 395,2022,SE,FT,Data Analytics Manager,105400,USD,105400,US,100,US,M
 396,2022,MI,FT,Machine Learning Engineer,80000,EUR,87932,FR,100,DE,M
 397,2022,MI,FT,Data Engineer,90000,GBP,117789,GB,0,GB,M
 398,2022,SE,FT,Data Scientist,215300,USD,215300,US,100,US,L
 399,2022,SE,FT,Data Scientist,158200,USD,158200,US,100,US,L
 400,2022,SE,FT,Data Engineer,209100,USD,209100,US,100,US,L
 401,2022,SE,FT,Data Engineer,154600,USD,154600,US,100,US,L
 402,2022,SE,FT,Data Analyst,115934,USD,115934,US,0,US,M
 403,2022,SE,FT,Data Analyst,81666,USD,81666,US,0,US,M
 404,2022,SE,FT,Data Engineer,175000,USD,175000,US,100,US,M
 405,2022,MI,FT,Data Engineer,75000,GBP,98158,GB,0,GB,M
 406,2022,MI,FT,Data Analyst,58000,USD,58000,US,0,US,S
 407,2022,SE,FT,Data Engineer,183600,USD,183600,US,100,US,L
 408,2022,MI,FT,Data Analyst,40000,GBP,52351,GB,100,GB,M
 409,2022,SE,FT,Data Scientist,180000,USD,180000,US,100,US,M
 410,2022,MI,FT,Data Scientist,55000,GBP,71982,GB,0,GB,M
 411,2022,MI,FT,Data Scientist,35000,GBP,45807,GB,0,GB,M
 412,2022,MI,FT,Data Engineer,60000,EUR,65949,GR,100,GR,M
 413,2022,MI,FT,Data Engineer,45000,EUR,49461,GR,100,GR,M
 414,2022,MI,FT,Data Engineer,60000,GBP,78526,GB,100,GB,M
 415,2022,MI,FT,Data Engineer,45000,GBP,58894,GB,100,GB,M
 416,2022,SE,FT,Data Scientist,260000,USD,260000,US,100,US,M
 417,2022,SE,FT,Data Science Engineer,60000,USD,60000,AR,100,MX,L
 418,2022,MI,FT,Data Engineer,63900,USD,63900,US,0,US,M
 419,2022,MI,FT,Machine Learning Scientist,160000,USD,160000,US,100,US,L
 420,2022,MI,FT,Machine Learning Scientist,112300,USD,112300,US,100,US,L
 421,2022,MI,FT,Data Science Manager,241000,USD,241000,US,100,US,M
 422,2022,MI,FT,Data Science Manager,159000,USD,159000,US,100,US,M
 423,2022,SE,FT,Data Scientist,180000,USD,180000,US,0,US,M
 424,2022,SE,FT,Data Scientist,80000,USD,80000,US,0,US,M
 425,2022,MI,FT,Data Engineer,82900,USD,82900,US,0,US,M
 426,2022,SE,FT,Data Engineer,100800,USD,100800,US,100,US,L
 427,2022,MI,FT,Data Engineer,45000,EUR,49461,ES,100,ES,M
 428,2022,SE,FT,Data Scientist,140400,USD,140400,US,0,US,L
 429,2022,MI,FT,Data Analyst,30000,GBP,39263,GB,100,GB,M
 430,2022,MI,FT,Data Analyst,40000,EUR,43966,ES,100,ES,M
 431,2022,MI,FT,Data Analyst,30000,EUR,32974,ES,100,ES,M
 432,2022,MI,FT,Data Engineer,80000,EUR,87932,ES,100,ES,M
 433,2022,MI,FT,Data Engineer,70000,EUR,76940,ES,100,ES,M
 434,2022,MI,FT,Data Engineer,80000,GBP,104702,GB,100,GB,M
 435,2022,MI,FT,Data Engineer,70000,GBP,91614,GB,100,GB,M
 436,2022,MI,FT,Data Engineer,60000,EUR,65949,ES,100,ES,M
 437,2022,MI,FT,Data Engineer,80000,EUR,87932,GR,100,GR,M
 438,2022,SE,FT,Machine Learning Engineer,189650,USD,189650,US,0,US,M
 439,2022,SE,FT,Machine Learning Engineer,164996,USD,164996,US,0,US,M
 440,2022,MI,FT,Data Analyst,40000,EUR,43966,GR,100,GR,M
 441,2022,MI,FT,Data Analyst,30000,EUR,32974,GR,100,GR,M
 442,2022,MI,FT,Data Engineer,75000,GBP,98158,GB,100,GB,M
 443,2022,MI,FT,Data Engineer,60000,GBP,78526,GB,100,GB,M
 444,2022,SE,FT,Data Scientist,215300,USD,215300,US,0,US,L
 445,2022,MI,FT,Data Engineer,70000,EUR,76940,GR,100,GR,M
 446,2022,SE,FT,Data Engineer,209100,USD,209100,US,100,US,L
 447,2022,SE,FT,Data Engineer,154600,USD,154600,US,100,US,L
 448,2022,SE,FT,Data Engineer,180000,USD,180000,US,100,US,M
 449,2022,EN,FT,ML Engineer,20000,EUR,21983,PT,100,PT,L
 450,2022,SE,FT,Data Engineer,80000,USD,80000,US,100,US,M
 451,2022,MI,FT,Machine Learning Developer,100000,CAD,78791,CA,100,CA,M
 452,2022,EX,FT,Director of Data Science,250000,CAD,196979,CA,50,CA,L
 453,2022,MI,FT,Machine Learning Engineer,120000,USD,120000,US,100,US,S
 454,2022,EN,FT,Computer Vision Engineer,125000,USD,125000,US,0,US,M
 455,2022,MI,FT,NLP Engineer,240000,CNY,37236,US,50,US,L
 456,2022,SE,FT,Data Engineer,105000,USD,105000,US,100,US,M
 457,2022,SE,FT,Lead Machine Learning Engineer,80000,EUR,87932,DE,0,DE,M
 458,2022,MI,FT,Business Data Analyst,1400000,INR,18442,IN,100,IN,M
 459,2022,MI,FT,Data Scientist,2400000,INR,31615,IN,100,IN,L
 460,2022,MI,FT,Machine Learning Infrastructure Engineer,53000,EUR,58255,PT,50,PT,L
 461,2022,EN,FT,Financial Data Analyst,100000,USD,100000,US,50,US,L
 462,2022,MI,PT,Data Engineer,50000,EUR,54957,DE,50,DE,L
 463,2022,EN,FT,Data Scientist,1400000,INR,18442,IN,100,IN,M
 464,2022,SE,FT,Principal Data Scientist,148000,EUR,162674,DE,100,DE,M
 465,2022,EN,FT,Data Engineer,120000,USD,120000,US,100,US,M
 466,2022,SE,FT,Research Scientist,144000,USD,144000,US,50,US,L
 467,2022,SE,FT,Data Scientist,104890,USD,104890,US,100,US,M
 468,2022,SE,FT,Data Engineer,100000,USD,100000,US,100,US,M
 469,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 470,2022,MI,FT,Data Analyst,135000,USD,135000,US,100,US,M
 471,2022,MI,FT,Data Analyst,50000,USD,50000,US,100,US,M
 472,2022,SE,FT,Data Scientist,220000,USD,220000,US,100,US,M
 473,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 474,2022,MI,FT,Data Scientist,140000,GBP,183228,GB,0,GB,M
 475,2022,MI,FT,Data Scientist,70000,GBP,91614,GB,0,GB,M
 476,2022,SE,FT,Data Scientist,185100,USD,185100,US,100,US,M
 477,2022,SE,FT,Machine Learning Engineer,220000,USD,220000,US,100,US,M
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 481,2022,SE,FT,Machine Learning Engineer,65000,USD,65000,AE,100,AE,S
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 488,2022,MI,FL,Data Scientist,100000,USD,100000,CA,100,US,M
 489,2022,EN,CT,Applied Machine Learning Scientist,29000,EUR,31875,TN,100,CZ,M
 490,2022,SE,FT,Head of Data,200000,USD,200000,MY,100,US,M
 491,2022,MI,FT,Principal Data Analyst,75000,USD,75000,CA,100,CA,S
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 493,2022,SE,FT,Machine Learning Developer,100000,CAD,78791,CA,100,CA,M
 494,2022,SE,FT,Data Scientist,100000,USD,100000,BR,100,US,M
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 501,2022,MI,FT,Head of Data,30000,EUR,32974,EE,100,EE,S
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--- a/degtyarev_mikhail_lab_5/img.png
+++ b/degtyarev_mikhail_lab_5/img.png
--- a/degtyarev_mikhail_lab_5/main.py
+++ b/degtyarev_mikhail_lab_5/main.py
@ -0,0 +1,60 @@
 import pandas as pd
 from sklearn.model_selection import train_test_split
 from sklearn.linear_model import Lasso
 from sklearn.metrics import mean_squared_error
 from sklearn.preprocessing import StandardScaler, OneHotEncoder
 from sklearn.compose import ColumnTransformer
 from sklearn.pipeline import Pipeline
 import matplotlib.pyplot as plt
 # Загрузка данных
 file_path = 'ds_salaries.csv'
 data = pd.read_csv(file_path)
 # Предварительная обработка данных
 categorical_features = ['experience_level', 'employment_type', 'company_location', 'company_size']
 numeric_features = ['work_year']
 preprocessor = ColumnTransformer(
    transformers=[
        ('num', StandardScaler(), numeric_features),
        ('cat', OneHotEncoder(handle_unknown='ignore'), categorical_features)
    ])
 # Выбор признаков
 features = ['work_year', 'experience_level', 'employment_type', 'company_location', 'company_size']
 X = data[features]
 y = data['salary_in_usd']
 # Разделение данных на обучающий и тестовый наборы
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
 # Создание и обучение модели с использованием предварительного обработчика данных
 alpha = 0.01
 lasso_model = Pipeline([
    ('preprocessor', preprocessor),
    ('lasso', Lasso(alpha=alpha))
 ])
 lasso_model.fit(X_train, y_train)
 # Получение прогнозов
 y_pred = lasso_model.predict(X_test)
 # Оценка точности модели
 accuracy = lasso_model.score(X_test, y_test)
 mse = mean_squared_error(y_test, y_pred)
 print(f"R^2 Score: {accuracy:.2f}")
 print(f"Mean Squared Error: {mse:.2f}")
 # Вывод предсказанных и фактических значений
 predictions_df = pd.DataFrame({'Actual': y_test, 'Predicted': y_pred})
 print(predictions_df)
 # Визуализация весов (коэффициентов) модели
 coefficients = pd.Series(lasso_model.named_steps['lasso'].coef_, index=numeric_features + list(lasso_model.named_steps['preprocessor'].transformers_[1][1].get_feature_names(categorical_features)))
 plt.figure(figsize=(10, 6))
 coefficients.sort_values().plot(kind='barh')
 plt.title('Lasso Regression Coefficients')
 plt.show()