Classify job titles (form 2 sources) into standard caregories using scikit -comparing 2-3 different approaches -
Budget €30-250 EUR
Job Description:
Create software on AWS EC2 in python from the scratch.
This software will take data from an .xls spreadsheet and will return another xls with a new column "standardized role".
We need to extract standard company roles (i.e. HR or Operations) from 2 fields: headline and title - categorization
using python library, possibly scikit
we need to use TfidfVectorizer to find keywords from these 2 original fields
and also clustering/classification
It would be nice to compare the result from 2-3 different approaches if they all match then automatically categorize the record otherwise ask for human supervision.
28 freelances font une offre moyenne de 173 € pour ce travail
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I am experienced python developer with strong experience in aws as well. I can create software on AWS EC2 in python from the scratch. Thanks.
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Hi, I have read your requirements and looked at the attachment. Being a computer science grad and a software professional, I have experience in machine learning algorithms. I can use TF-IDF or BoW methods and implemen Plus
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Hello am Collins and am a Machine Learning expert, based on your project requirements I will be able to write a python program that performs data scraping and categorizes the data that you have. I have done similar scr Plus
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Hello there I read your job description and I see you need a text classification from the job title and headline. This is NLP project and I will use scikit-learn, for this classification, we can use KNN, SVM, Decision Plus
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