Predict Salary of a Job based on title, description, location, worktype

I need someone who can produce a working Python model to predict a salary of a job based on the jobs title, description, location and worktype.

Will be using a 150,000 row set of training data to train the model. This training set can increase in size if need be (I’ll handle that)

I expect the script once it has been trained to take in a singular input for title, description, location and worktype (full time, part time, casual) and print out a salary figure that is 85%+ accurate. Please nothing less than that and also will not be paying for a model that gives accuracy less than that.

What is important is the accuracy of the model, I need it to predict salary as close as possible and also be able to take in those given input to produce that salary figure.

Please message me with any further queries or inquiries.

Python, Machine Learning, Data Science, Data Analytics

Skills: Data Analysis, Data Science, Machine Learning (ML), Python

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About the Employer:
( 15 reviews ) Sydney, Australia

Project ID: #19102832

68 freelancers are bidding on average $513 for this job


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