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Machine Learning Software Project

Our objectives for the software are as follows:

- create personalized database for Instagram accounts

- review historical Instagram posts (images and comments)

- categorize and analyze different data sets:

- Instagram Images: what types of products are being featured, fabrics, color tones, locations, time of day

- Instagram Comments: based on the images, how did the audience reaction? Review the text comments and categorize the engagement level and emotional sentiment of the audience.

- Based on the above, compare against website traffic and behavior, culminating in product purchases.

- based on above make predictive assessments on our brand, product, and campaign directions.

- compare this data against other Instagram databases that we've created

- compare this data against external industry trends and data

- utilize to track other influencers/social accounts to target future prospects.

- provide quantifiable details on how the CUs are being discovered and trends

Evner: Algoritme, Kunstig intelligens, Datasøgning, Maskinoplæring, Python

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Om arbejdsgiveren:
( 52 bedømmelser ) Vancouver, Canada

Projekt ID: #19019619

29 freelancere byder i gennemsnit $1268 på dette job

widadsaghir1993

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$1250 CAD in 20 dage
(93 bedømmelser)
7.1
skfaroo123

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$1250 CAD in 20 dage
(32 bedømmelser)
6.6
dinhfreedom

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$1200 CAD in 20 dage
(82 bedømmelser)
6.7
schoudhary1553

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$1500 CAD in 20 dage
(41 bedømmelser)
6.0
liveexperts123

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(21 bedømmelser)
6.0
RobustTechServ

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(4 bedømmelser)
5.6
MeihaoShiguang

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5.7
vorasiddh4it

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4.7
RushService

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4.7
AwaisChaudhry

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(2 bedømmelser)
4.5
langlangFan

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4.1
superbpartner

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3.6
cindcoder

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3.0
freelancerpr0

Principal data scientist & co-founder at Consultivate.com. CTO at TasteMap - the first AI-powered digital sommelier for retail - one of the startup using deep learning architectures developed by our team at Consultivat Flere

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2.9
mingguo808

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1.8
dfotisjr

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1.9
BestService222

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(1 bedømmelse)
1.6
guangzhen33

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(1 bedømmelse)
1.5
SecureForYou

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0.0
allen02091994

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0.0