Merge pull request 'degtyarev_mikhail_lab_3_is_ready' (#246) from degtyarev_mikhail_lab_3 into main

Reviewed-on: http://student.git.athene.tech/Alexey/IIS_2023_1/pulls/246
2023-12-07 16:25:55 +04:00 · 2023-12-07 16:25:55 +04:00 · 1a4efbe9e1
commit 1a4efbe9e1
parent f2c100ae07 cfb610ad02
4 changed files with 732 additions and 0 deletions
--- a/degtyarev_mikhail_lab_3/Readme.md
+++ b/degtyarev_mikhail_lab_3/Readme.md
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 # Лабораторная 3
 ## Вариант 9
 ## Задание
 Решите с помощью библиотечной реализации дерева решений задачу из лабораторной работы «Веб-сервис «Дерево решений» по предмету «Методы  искусственного  интеллекта»на  99%  ваших  данных.
 Проверьте работу модели на оставшемся проценте, сделайте вывод.
 ## Описание Программы
 Данная программа предназначена для построения и оценки модели дерева решений с использованием данных о зарплатах в области Data Science.
 1) Задача, решаемая деревом решений:
 Можно использовать дерево решений для классификации должностей на основе опыта работы (experience_level), типа занятости (employment_type), местоположения компании (company_location) и размера компании (company_size). Например, можно предсказать категории должностей, такие как "Junior Data Scientist," "Senior Data Analyst," и т.д.
 ### Используемые библиотеки
 - `pandas`: Библиотека для обработки и анализа данных, используется для загрузки и предобработки данных.
 - `scikit-learn`: Библиотека для машинного обучения, включает в себя реализацию дерева решений (DecisionTreeClassifier), метрики оценки модели (accuracy_score, mean_squared_error) и кодировщик категориальных переменных (LabelEncoder).
 ### Шаги программы
 **Загрузка данных:**
 Данные о зарплатах в области Data Science загружаются из файла 'ds_salaries.csv'.
 Столбец 'Unnamed: 0', предположительно, содержащий индекс или идентификатор, удаляется.
 **Предобработка данных:**
 Определены признаки (features) и целевая переменная (target).
 Категориальные признаки преобразованы в числовой формат с использованием LabelEncoder.
 Целевая переменная также преобразована в числовой формат.
 **Разделение данных:**
 Данные разделены на обучающий (99%) и тестовый (1%) наборы с использованием train_test_split.
 **Построение и обучение модели:**
 Создана и обучена модель дерева решений с использованием DecisionTreeClassifier.
 **Предсказание и оценка:**
 Выполнено предсказание категорий должностей на тестовом наборе данных.
 Оценена точность модели с использованием accuracy_score.
 Рассчитана средняя квадратичная ошибка в процентах с использованием mean_squared_error.
 **Анализ важности признаков:**
 Выведена важность каждого признака в модели.
 Вывод первых 5 строк тестового набора данных:
 Выведены первые 5 строк тестового набора данных для ознакомления с фактическими и предсказанными значениями.
 ### Запуск программы
 - Склонировать или скачать код `main.py`.
 - Запустите файл в среде, поддерживающей выполнение Python. `python main.py`
 ### Результаты
 ![](img.png)
 На основе результатов, предоставленных моделью дерева решений, можно сделать вывод, что текущая модель не идеально подходит для задачи классификации должностей на основе предоставленных данных. 
 **Точность модели 14.29%**
 Низкая точность может свидетельствовать о том, что модель недостаточно эффективна в предсказании категорий должностей. Возможные причины низкой точности могут включать в себя неоптимальный выбор признаков, недостаточную обработку данных или неоптимальную настройку параметров модели.
 **Средняя квадратичная ошибка: 165.86%**
 Высокая средняя квадратичная ошибка также указывает на значительное отклонение предсказанных значений от фактических значений. Это говорит о том, что модель недостаточно точно предсказывает категории должностей.
 **Важность признаков**
 'company_location' оказывает наибольшее влияние на модель, тогда как 'employment_type' - наименьшее.
--- a/degtyarev_mikhail_lab_3/ds_salaries.csv
+++ b/degtyarev_mikhail_lab_3/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
 478,2022,MI,FT,Data Scientist,200000,USD,200000,US,100,US,M
 479,2022,MI,FT,Data Scientist,120000,USD,120000,US,100,US,M
 480,2022,SE,FT,Machine Learning Engineer,120000,USD,120000,AE,100,AE,S
 481,2022,SE,FT,Machine Learning Engineer,65000,USD,65000,AE,100,AE,S
 482,2022,EX,FT,Data Engineer,324000,USD,324000,US,100,US,M
 483,2022,EX,FT,Data Engineer,216000,USD,216000,US,100,US,M
 484,2022,SE,FT,Data Engineer,210000,USD,210000,US,100,US,M
 485,2022,SE,FT,Machine Learning Engineer,120000,USD,120000,US,100,US,M
 486,2022,SE,FT,Data Scientist,230000,USD,230000,US,100,US,M
 487,2022,EN,PT,Data Scientist,100000,USD,100000,DZ,50,DZ,M
 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
 492,2022,MI,FT,Data Scientist,150000,PLN,35590,PL,100,PL,L
 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
 495,2022,MI,FT,Machine Learning Scientist,153000,USD,153000,US,50,US,M
 496,2022,EN,FT,Data Engineer,52800,EUR,58035,PK,100,DE,M
 497,2022,SE,FT,Data Scientist,165000,USD,165000,US,100,US,M
 498,2022,SE,FT,Research Scientist,85000,EUR,93427,FR,50,FR,L
 499,2022,EN,FT,Data Scientist,66500,CAD,52396,CA,100,CA,L
 500,2022,SE,FT,Machine Learning Engineer,57000,EUR,62651,NL,100,NL,L
 501,2022,MI,FT,Head of Data,30000,EUR,32974,EE,100,EE,S
 502,2022,EN,FT,Data Scientist,40000,USD,40000,JP,100,MY,L
 503,2022,MI,FT,Machine Learning Engineer,121000,AUD,87425,AU,100,AU,L
 504,2022,SE,FT,Data Engineer,115000,USD,115000,US,100,US,M
 505,2022,EN,FT,Data Scientist,120000,AUD,86703,AU,50,AU,M
 506,2022,MI,FT,Applied Machine Learning Scientist,75000,USD,75000,BO,100,US,L
 507,2022,MI,FT,Research Scientist,59000,EUR,64849,AT,0,AT,L
 508,2022,EN,FT,Research Scientist,120000,USD,120000,US,100,US,L
 509,2022,MI,FT,Applied Data Scientist,157000,USD,157000,US,100,US,L
 510,2022,EN,FT,Computer Vision Software Engineer,150000,USD,150000,AU,100,AU,S
 511,2022,MI,FT,Business Data Analyst,90000,CAD,70912,CA,50,CA,L
 512,2022,EN,FT,Data Engineer,65000,USD,65000,US,100,US,S
 513,2022,SE,FT,Machine Learning Engineer,65000,EUR,71444,IE,100,IE,S
 514,2022,EN,FT,Data Analytics Engineer,20000,USD,20000,PK,0,PK,M
 515,2022,MI,FT,Data Scientist,48000,USD,48000,RU,100,US,S
 516,2022,SE,FT,Data Science Manager,152500,USD,152500,US,100,US,M
 517,2022,MI,FT,Data Engineer,62000,EUR,68147,FR,100,FR,M
 518,2022,MI,FT,Data Scientist,115000,CHF,122346,CH,0,CH,L
 519,2022,SE,FT,Applied Data Scientist,380000,USD,380000,US,100,US,L
 520,2022,MI,FT,Data Scientist,88000,CAD,69336,CA,100,CA,M
 521,2022,EN,FT,Computer Vision Engineer,10000,USD,10000,PT,100,LU,M
 522,2022,MI,FT,Data Analyst,20000,USD,20000,GR,100,GR,S
 523,2022,SE,FT,Data Analytics Lead,405000,USD,405000,US,100,US,L
 524,2022,MI,FT,Data Scientist,135000,USD,135000,US,100,US,L
 525,2022,SE,FT,Applied Data Scientist,177000,USD,177000,US,100,US,L
 526,2022,MI,FT,Data Scientist,78000,USD,78000,US,100,US,M
 527,2022,SE,FT,Data Analyst,135000,USD,135000,US,100,US,M
 528,2022,SE,FT,Data Analyst,100000,USD,100000,US,100,US,M
 529,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 530,2022,MI,FT,Data Analyst,85000,USD,85000,CA,0,CA,M
 531,2022,MI,FT,Data Analyst,75000,USD,75000,CA,0,CA,M
 532,2022,SE,FT,Machine Learning Engineer,214000,USD,214000,US,100,US,M
 533,2022,SE,FT,Machine Learning Engineer,192600,USD,192600,US,100,US,M
 534,2022,SE,FT,Data Architect,266400,USD,266400,US,100,US,M
 535,2022,SE,FT,Data Architect,213120,USD,213120,US,100,US,M
 536,2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M
 537,2022,SE,FT,Data Engineer,155000,USD,155000,US,100,US,M
 538,2022,MI,FT,Data Scientist,141300,USD,141300,US,0,US,M
 539,2022,MI,FT,Data Scientist,102100,USD,102100,US,0,US,M
 540,2022,SE,FT,Data Analyst,115934,USD,115934,US,100,US,M
 541,2022,SE,FT,Data Analyst,81666,USD,81666,US,100,US,M
 542,2022,MI,FT,Data Engineer,206699,USD,206699,US,0,US,M
 543,2022,MI,FT,Data Engineer,99100,USD,99100,US,0,US,M
 544,2022,SE,FT,Data Engineer,130000,USD,130000,US,100,US,M
 545,2022,SE,FT,Data Engineer,115000,USD,115000,US,100,US,M
 546,2022,SE,FT,Data Engineer,110500,USD,110500,US,100,US,M
 547,2022,SE,FT,Data Engineer,130000,USD,130000,US,100,US,M
 548,2022,SE,FT,Data Analyst,99050,USD,99050,US,100,US,M
 549,2022,SE,FT,Data Engineer,160000,USD,160000,US,100,US,M
 550,2022,SE,FT,Data Scientist,205300,USD,205300,US,0,US,L
 551,2022,SE,FT,Data Scientist,140400,USD,140400,US,0,US,L
 552,2022,SE,FT,Data Scientist,176000,USD,176000,US,100,US,M
 553,2022,SE,FT,Data Scientist,144000,USD,144000,US,100,US,M
 554,2022,SE,FT,Data Engineer,200100,USD,200100,US,100,US,M
 555,2022,SE,FT,Data Engineer,160000,USD,160000,US,100,US,M
 556,2022,SE,FT,Data Engineer,145000,USD,145000,US,100,US,M
 557,2022,SE,FT,Data Engineer,70500,USD,70500,US,0,US,M
 558,2022,SE,FT,Data Scientist,205300,USD,205300,US,0,US,M
 559,2022,SE,FT,Data Scientist,140400,USD,140400,US,0,US,M
 560,2022,SE,FT,Analytics Engineer,205300,USD,205300,US,0,US,M
 561,2022,SE,FT,Analytics Engineer,184700,USD,184700,US,0,US,M
 562,2022,SE,FT,Data Engineer,175100,USD,175100,US,100,US,M
 563,2022,SE,FT,Data Engineer,140250,USD,140250,US,100,US,M
 564,2022,SE,FT,Data Analyst,116150,USD,116150,US,100,US,M
 565,2022,SE,FT,Data Engineer,54000,USD,54000,US,0,US,M
 566,2022,SE,FT,Data Analyst,170000,USD,170000,US,100,US,M
 567,2022,MI,FT,Data Analyst,50000,GBP,65438,GB,0,GB,M
 568,2022,SE,FT,Data Analyst,80000,USD,80000,US,100,US,M
 569,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 570,2022,SE,FT,Data Scientist,210000,USD,210000,US,100,US,M
 571,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 572,2022,SE,FT,Data Analyst,100000,USD,100000,US,100,US,M
 573,2022,SE,FT,Data Analyst,69000,USD,69000,US,100,US,M
 574,2022,SE,FT,Data Scientist,210000,USD,210000,US,100,US,M
 575,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 576,2022,SE,FT,Data Scientist,210000,USD,210000,US,100,US,M
 577,2022,SE,FT,Data Analyst,150075,USD,150075,US,100,US,M
 578,2022,SE,FT,Data Engineer,100000,USD,100000,US,100,US,M
 579,2022,SE,FT,Data Engineer,25000,USD,25000,US,100,US,M
 580,2022,SE,FT,Data Analyst,126500,USD,126500,US,100,US,M
 581,2022,SE,FT,Data Analyst,106260,USD,106260,US,100,US,M
 582,2022,SE,FT,Data Engineer,220110,USD,220110,US,100,US,M
 583,2022,SE,FT,Data Engineer,160080,USD,160080,US,100,US,M
 584,2022,SE,FT,Data Analyst,105000,USD,105000,US,100,US,M
 585,2022,SE,FT,Data Analyst,110925,USD,110925,US,100,US,M
 586,2022,MI,FT,Data Analyst,35000,GBP,45807,GB,0,GB,M
 587,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 588,2022,SE,FT,Data Analyst,99000,USD,99000,US,0,US,M
 589,2022,SE,FT,Data Analyst,60000,USD,60000,US,100,US,M
 590,2022,SE,FT,Data Architect,192564,USD,192564,US,100,US,M
 591,2022,SE,FT,Data Architect,144854,USD,144854,US,100,US,M
 592,2022,SE,FT,Data Scientist,230000,USD,230000,US,100,US,M
 593,2022,SE,FT,Data Scientist,150000,USD,150000,US,100,US,M
 594,2022,SE,FT,Data Analytics Manager,150260,USD,150260,US,100,US,M
 595,2022,SE,FT,Data Analytics Manager,109280,USD,109280,US,100,US,M
 596,2022,SE,FT,Data Scientist,210000,USD,210000,US,100,US,M
 597,2022,SE,FT,Data Analyst,170000,USD,170000,US,100,US,M
 598,2022,MI,FT,Data Scientist,160000,USD,160000,US,100,US,M
 599,2022,MI,FT,Data Scientist,130000,USD,130000,US,100,US,M
 600,2022,EN,FT,Data Analyst,67000,USD,67000,CA,0,CA,M
 601,2022,EN,FT,Data Analyst,52000,USD,52000,CA,0,CA,M
 602,2022,SE,FT,Data Engineer,154000,USD,154000,US,100,US,M
 603,2022,SE,FT,Data Engineer,126000,USD,126000,US,100,US,M
 604,2022,SE,FT,Data Analyst,129000,USD,129000,US,0,US,M
 605,2022,SE,FT,Data Analyst,150000,USD,150000,US,100,US,M
 606,2022,MI,FT,AI Scientist,200000,USD,200000,IN,100,US,L
--- a/degtyarev_mikhail_lab_3/img.png
+++ b/degtyarev_mikhail_lab_3/img.png
--- a/degtyarev_mikhail_lab_3/main.py
+++ b/degtyarev_mikhail_lab_3/main.py
@ -0,0 +1,53 @@
 import pandas as pd
 from sklearn.model_selection import train_test_split
 from sklearn.tree import DecisionTreeClassifier
 from sklearn.metrics import accuracy_score, mean_squared_error
 from sklearn.preprocessing import LabelEncoder
 # Загрузка данных и удаление столбца 'Unnamed: 0'
 data = pd.read_csv('ds_salaries.csv').drop('Unnamed: 0', axis=1)
 # Определение признаков и целевой переменной
 features = ['experience_level', 'employment_type', 'company_location', 'company_size']
 target = 'job_title'
 # Преобразование категориальных признаков в числовые
 label_encoder = LabelEncoder()
 for feature in features:
    data[feature] = label_encoder.fit_transform(data[feature])
 # Преобразование целевой переменной в числовой формат
 data[target] = label_encoder.fit_transform(data[target])
 # Разделение данных на обучающий (99%) и тестовый (1%) наборы
 train_data, test_data = train_test_split(data, test_size=0.01, random_state=42)
 # Создание модели дерева решений
 model = DecisionTreeClassifier(random_state=42)
 # Обучение модели
 model.fit(train_data[features], train_data[target])
 # Предсказание на тестовом наборе
 predictions = model.predict(test_data[features])
 # Обратное преобразование числовых предсказаний в строковый формат
 predictions_str = label_encoder.inverse_transform(predictions)
 # Оценка точности модели на тестовом наборе
 accuracy = accuracy_score(test_data[target], predictions)
 print(f'Accuracy: {accuracy * 100:.2f}%')
 # Средняя квадратичная ошибка в процентах
 mse = mean_squared_error(test_data[target], predictions)
 print(f'Mean Squared Error: {mse:.2f}%')
 feature_importance = model.feature_importances_
 feature_importance_dict = dict(zip(features, feature_importance))
 sorted_feature_importance = sorted(feature_importance_dict.items(), key=lambda x: x[1], reverse=True)
 print("Feature Importance:")
 for feature, importance in sorted_feature_importance:
    print(f"{feature}: {importance}")
 print("First 5 rows of test data:")
 print(test_data.head())