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Build an algorithm

-- Requires world-class algorithm minds --

I have 10,000+ car transaction information consisting of:

Car color

Car model

Car make

Car transmission

Manufactured year

Year sold

Registered city

Sold in city

Sold price

Mileage

Car condition - Documentation

Car condition - Engine

Car condition - Interior

Car condition - Exterior

Car condition - Tools

For all the 10,000+ cars. I am aiming to create an algorithm for "expected price". So when i input: Toyota, Avanza, etc., a price will come out. You are free to experiment with the metrics (for example, maybe what matters is not "Manufactured Year" and "Year Sold", but "Car Age", which is the difference between the two (this is just an example). I am expecting an error of less than 5%.

Skills: Algorithm, Mathematics, Statistical Analysis, Statistics

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About the Employer:
( 3 reviews ) Lafayette, United States

Project ID: #16429134

27 freelancers are bidding on average Rp14613255 for this job

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Vadimwang

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managent88

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sufrelancing

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