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Built a client-facing API using Django with Random Forest Regressor model calculates the predicted salary of a data scientist/engineer.

Home Page: https://jobsalaryprediction.herokuapp.com/

License: MIT License

Python 1.52% CSS 48.04% Less 20.81% SCSS 24.47% JavaScript 0.45% HTML 4.71%

salary-priceprediction_website's Introduction

salary-priceprediction_website

  • Built a client facing API using Django and hosted the APP on Heroku.
  • Model was trained with more parameters but the deployment of all parameters to heroku app will not be viable. So the model takes the input:
    • Age Of Company
    • Rating Of The Company (1-5)
    • Is Python One Of Your Skills?
    • Is Spark One Of Your Skills?
    • Is AWS One Of Your Skills?
    • Job Seniority
    • Is Excel One Of Your Skills?
    • Which State Do You Want Your Job
    • Are You Looking For Hourly Pay?
    • Job Title
    • Sector
    • Type Of Ownership
    • Industry
  • This APP estimates data science salaries (Mean Absolute Error ~ $ 11K) to help data scientists negotiate their income when they get a job.

Home

Takes the 13 Parameters mentioned above.

Result

Salary is predicted by Random Forest Regressor with (mean absolute error: 11.073154362416108).

The predicted salary is in: ($1000).

salary-priceprediction_website's People

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