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1. Predicting House Prices on the Countryside using Boosted Decision Trees
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis intends to evaluate the feasibility of supervised learning models for predicting house prices on the countryside of South Sweden. It is essential for mortgage lenders to have accurate housing valuation algorithms and the current model offered by Booli is not accurate enough when evaluating residence prices on the countryside. LÄS MER
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