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Classify job titles (form 2 sources) into standard caregories using scikit -comparing 2-3 different approaches -

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.

Compétences : Python, Architecture Logicielle, Amazon Web Services, Exploitation de Données

Concernant le client :
( 56 commentaires ) PARMA, Italy

Nº du projet : #36239569

28 freelances font une offre moyenne de 173 € pour ce travail

umg536

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(43 Commentaires)
7.3
schoudhary1553

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7.5
fhasanbd

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6.8
rashidamjad

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5.8
mirzaahamza

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5.6
anayapallavi

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5.3
alamineee

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5.4
anaya8777

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4.8
trickytechsol

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4.3
robartint

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4.1
marlinrikey

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3.3
mcollinscalz

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3.8
devastatingram

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3.2
nitin6312offcie4

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2.7
abasit89

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mahimachouhan91

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denysvelychko

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0.0
VishalG2909

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edinorjr

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0.0