house-sales-prediction-using-gbm

House Sales Prediction using Gradient Boosting Machines (GBM) - Regression

Problem Statement

The dataset consisted of historic data of houses sold between May 2014 to May 2015. We will predict the sales of houses in King County with an accuracy of at least 75-80% and understand which factors are responsible for higher property value - $650K and above. The aim of this report is to predict the house sales in King County, Washington State, USA using different models (Adaboost & GBM)

Analysis was done in Jupyter Notebook using these Python libraries - Pandas, Numpy, Math, Sklearn, Scipy, Time, Matplotib and Seaborn