Introduction to Final Group Project

This project will give you an opportunity to apply many of the predictive analytics techniques covered

in class. In your project, you will have a chance to show how well you can apply the techniques you

have learned to make good decisions. These decisions will be based on your own judgment, which

will be informed by the exploratory analyses you conduct, any problem$-$fixing endeavors you apply on

the dataset, and the models you develop and tune.

Objective

The main goal is for your group to recommend for investment the purchase of twenty $(20)$ most

luxurious $($i$.$e$.$ priciest$)$ homes out of $100$ candidate properties for which the sales prices are not known.

The data sets you will use for this project are described below. A good purchase recommendation is

for a shortlist of the $20$ homes as close as possible to a final list based on the target prices of the homes;

meanwhile, the rank order of homes in your recommended list will not matter, only thing that matters

as far as your project$$s quality of predictive analytics goes is the number of homes in your

recommendation list that overlap with a list based on the actual target prices. The data sets you will

use for this project are described below.