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https://github.com/raksh710/data_scientist_salaries
Predicting the Salary of data science jobs (for example Data Scientist, Data Engineer, Machine Learning Engineer, Data Analyst, BI Engineer etc.) in USD based on various factors like Work Year (the year in which you are looking for job), Pay grade, Average pay scale in the Country (where the job is located), experience level, Employment type etc.
https://github.com/raksh710/data_scientist_salaries
flask-application heroku-deployment random-forest regression regression-models salary-prediction
Last synced: 1 day ago
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Predicting the Salary of data science jobs (for example Data Scientist, Data Engineer, Machine Learning Engineer, Data Analyst, BI Engineer etc.) in USD based on various factors like Work Year (the year in which you are looking for job), Pay grade, Average pay scale in the Country (where the job is located), experience level, Employment type etc.
- Host: GitHub
- URL: https://github.com/raksh710/data_scientist_salaries
- Owner: Raksh710
- License: gpl-3.0
- Created: 2022-09-10T05:40:29.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-23T09:05:19.000Z (almost 2 years ago)
- Last Synced: 2024-11-10T11:42:15.217Z (about 2 months ago)
- Topics: flask-application, heroku-deployment, random-forest, regression, regression-models, salary-prediction
- Language: Jupyter Notebook
- Homepage: https://salary-prediction-data-domain.herokuapp.com/
- Size: 928 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Data_Scientist_Salaries
## Check out the app: https://salary-prediction-data-domain.herokuapp.com/
Predicting the Salary of data science jobs (for example Data Scientist, Data Engineer, Machine Learning Engineer, Data Analyst, BI Engineer etc.) in USD based on various factors like Work Year (the year in which you are looking for job), Pay grade, Average pay scale in the Country (where the job is located), experience level, Employment type (Part time, full time, Contract etc.), Remote/Hybrid/Onsite.