Skip to content

Latest commit

 

History

History
9 lines (6 loc) · 1020 Bytes

README.md

File metadata and controls

9 lines (6 loc) · 1020 Bytes

Predict-Diamond-Prices

Projects Submitted for Udacity's Predictive Analytics for Business Nanodegree using Alteryx and Tableau.

Project Overview A jewelry company wants to put in a bid to purchase a large set of diamonds, but is unsure how much it should bid. In this project, you will use the results from a predictive model to make a recommendation on how much the jewelry company should bid for the diamonds.

Project Details A diamond distributor has recently decided to exit the market and has put up a set of 3,000 diamonds up for auction. Seeing this as a great opportunity to expand its inventory, a jewelry company has shown interest in making a bid. To decide how much to bid, the company’s analytics team used a large database of diamond prices to build a linear regression model to predict the price of a diamond based on its attributes. You, as the business analysts, are tasked to apply that model to make a recommendation for how much the company should bid for the entire set of 3,000 diamonds.