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
This commit is contained in:
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1a4efbe9e1
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degtyarev_mikhail_lab_3/Readme.md
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# Лабораторная 3
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## Вариант 9
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## Задание
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Решите с помощью библиотечной реализации дерева решений задачу из лабораторной работы «Веб-сервис «Дерево решений» по предмету «Методы искусственного интеллекта»на 99% ваших данных.
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Проверьте работу модели на оставшемся проценте, сделайте вывод.
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## Описание Программы
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Данная программа предназначена для построения и оценки модели дерева решений с использованием данных о зарплатах в области Data Science.
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1) Задача, решаемая деревом решений:
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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.
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### Используемые библиотеки
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- `pandas`: Библиотека для обработки и анализа данных, используется для загрузки и предобработки данных.
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- `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).
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### Шаги программы
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**Загрузка данных:**
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Данные о зарплатах в области Data Science загружаются из файла 'ds_salaries.csv'.
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Столбец 'Unnamed: 0', предположительно, содержащий индекс или идентификатор, удаляется.
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**Предобработка данных:**
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Определены признаки (features) и целевая переменная (target).
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Категориальные признаки преобразованы в числовой формат с использованием LabelEncoder.
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Целевая переменная также преобразована в числовой формат.
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**Разделение данных:**
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Данные разделены на обучающий (99%) и тестовый (1%) наборы с использованием train_test_split.
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**Построение и обучение модели:**
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Создана и обучена модель дерева решений с использованием DecisionTreeClassifier.
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**Предсказание и оценка:**
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Выполнено предсказание категорий должностей на тестовом наборе данных.
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Оценена точность модели с использованием accuracy_score.
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Рассчитана средняя квадратичная ошибка в процентах с использованием mean_squared_error.
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**Анализ важности признаков:**
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Выведена важность каждого признака в модели.
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Вывод первых 5 строк тестового набора данных:
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Выведены первые 5 строк тестового набора данных для ознакомления с фактическими и предсказанными значениями.
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### Запуск программы
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- Склонировать или скачать код `main.py`.
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- Запустите файл в среде, поддерживающей выполнение Python. `python main.py`
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### Результаты
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На основе результатов, предоставленных моделью дерева решений, можно сделать вывод, что текущая модель не идеально подходит для задачи классификации должностей на основе предоставленных данных.
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**Точность модели 14.29%**
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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.
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**Средняя квадратичная ошибка: 165.86%**
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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.
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**Важность признаков**
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'company_location' оказывает наибольшее влияние на модель, тогда как 'employment_type' - наименьшее.
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608
degtyarev_mikhail_lab_3/ds_salaries.csv
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degtyarev_mikhail_lab_3/ds_salaries.csv
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,work_year,experience_level,employment_type,job_title,salary,salary_currency,salary_in_usd,employee_residence,remote_ratio,company_location,company_size
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0,2020,MI,FT,Data Scientist,70000,EUR,79833,DE,0,DE,L
|
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1,2020,SE,FT,Machine Learning Scientist,260000,USD,260000,JP,0,JP,S
|
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2,2020,SE,FT,Big Data Engineer,85000,GBP,109024,GB,50,GB,M
|
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3,2020,MI,FT,Product Data Analyst,20000,USD,20000,HN,0,HN,S
|
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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
|
||||
|
BIN
degtyarev_mikhail_lab_3/img.png
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BIN
degtyarev_mikhail_lab_3/img.png
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|
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53
degtyarev_mikhail_lab_3/main.py
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53
degtyarev_mikhail_lab_3/main.py
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@ -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())
|
||||
Loading…
Reference in New Issue
Block a user