Housing prices are an important reflection of the economy, and housing price ranges are of great interest for both buyers and sellers. In this project, house prices will be predicted given explanatory variables that cover many aspects of residential houses. The goal of this project is to create a regression model that are able to accurately estimate the price of the house given the features.

Acquiring data

The data for this project is available on kaggle. The main objective is to predict the price of a given house based upon the previous available data. The dataset is available here: https://www.kaggle.com/harlfoxem/housesalesprediction

#data-science #neural-networks #deep-learning #exploratory-data-analysis