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  1. 1. Time Series Forecasting of House Prices: An evaluation of a Support Vector Machine and a Recurrent Neural Network with LSTM cells

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Jako Rostami; Fredrik Hansson; [2019]
    Keywords : machine learning; cross-validation; seasonality; sliding window; sequential model; supervised learning;

    Abstract : In this thesis, we examine the performance of different forecasting methods. We use dataof monthly house prices from the larger Stockholm area and the municipality of Uppsalabetween 2005 and early 2019 as the time series to be forecast. READ MORE