-- Requires world-class algorithm minds --
I have 10,000+ car transaction information consisting of:
Sold in city
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%.
27 freelancers are bidding on average Rp14613255 for this job
Hi, I am an experienced engineer, and I have excellent skills with Matlab and others. I'm sure I can perfectly help your project on time. Please ping me to discuss your project more detail. Thank you.