In this assignment, you are a Data Analyst working at a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate. You are tasked with determining the market price of a house given a set of features. You will analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on. A template notebook is provided in the lab; your job is to complete the ten questions. Some hints to the questions are given in the template notebook.
Dataset Used in this Assignment
The dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It was taken from
here
. It was also slightly modified for the purposes of this course.
For this project, you will utilize JupyterLab running on the Cloud in Skills Network Labs environment.
esiabagee
commented
1 year ago
Project Scenario
In this assignment, you are a Data Analyst working at a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate. You are tasked with determining the market price of a house given a set of features. You will analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on. A template notebook is provided in the lab; your job is to complete the ten questions. Some hints to the questions are given in the template notebook.
Dataset Used in this Assignment
The dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It was taken from here . It was also slightly modified for the purposes of this course.
For this project, you will utilize JupyterLab running on the Cloud in Skills Network Labs environment.
Completed project file:///C:/Users/EZENWANYI'S/Downloads/House_Sales_in_King_Count_USA%20(3).html