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

Kemahiran: Data Analysis, Sains Data, Machine Learning (ML), Python

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Tentang Majikan:
( 15 ulasan ) Sydney, Australia

ID Projek: #19102832

68 pekerja bebas membida secara purata $513 untuk pekerjaan ini


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$300 USD dalam 10 hari
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I have experience in prediction of the cost of some production. I have used tensorflow library for this project. I think I can apply this library to your project.

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