bonnie10/housing_project

Housing Project

Overview

The basic motive of venturing into a business, profit making is a no brainer objective for the house investors. It is always their wish that their houses sell for the highest prices with regard to the inclusion of customer oriented features that attracts more and more of them. For this reason, it is vital for investors to know the best selling brands of houses and the specific features to be included for this highly desired high price that translates to high profit.

Business Understanding

The projects looks at several features relating to house prices with an end goal of giving investors an insight of whatever kind of houses they should invest in to increase their profits. The project takes into account the various vital factors considered as significantly essential for house buyers.

With the given dataset, the project aims at advising investors what kind of houses to invest in and what features should be inclusive to get the highest of rewards from their sales.

Data Understanding and Recommendation

The project uses the provided data from kc_house data to make deductions on the housing investment. The project formulates a variety of models to test the factors that causes variances in the price of houses. The projects settles on a final model that accounts for around 59% of the variances in house prices. This model is as precise as possible going with the popular fact that a model is as good as the data provided. Going by this fact, there seems to be quite some things regarding housing that the data leaves out hence the somewhat middle prediction by the model.

The mansion is the most profitable kind of housing to venture in holding all other factors constant. Additionally, it should have some specific features such as an excellent view for higher profits that automatically comes from the high prices. The sqft_ living, sqft_lot15, bedrooms and bathrooms are all essential factors to put into consideration as per this model..