Know Your Worth: Build A Job Salary Estimator
Learn how to build a job salary estimator using machine learning. Analyze job market data, use regression models to predict salaries, and understand the factors affecting salary ranges for various positions and industries.
At a Glance
Want to know how much a data science job pays? Use our cutting-edge model that utilizes text mining and BERT to estimate salary from job posting descriptions. Simply copy and paste the job description to get your estimate. Say goodbye to hours of research; our model will give you the information you need quickly and easily.
Have you ever wondered how much that dream data job you’ve been eyeing will pay? Well, wonder no more! In this cutting-edge project, we harness the power of state-of-the-art technology to give you an estimate of the average salary for a given data science job posting description.
We utilize text mining techniques to clean and vectorize the data, using the BERT model to extract relevant information. Then, we design a deep neural network for training and testing. The end result? A powerful model that can give you an estimate of a job’s salary just by copying and pasting the job description. Say goodbye to hours of scouring job boards and salary calculators – with our model, you’ll have the information you need at your fingertips in no time.
A Look at the Project Ahead
By completing this project you will able to
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- Prepare text for analysis through various stages
- Vectorize text for ML tasks using state-of-the-art NLP models (the BERT model for embeddings)
- Design and fit deep neural network model
- Use the model for the new data
What You’ll Need
A little background in python, and a browser.
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