COVID-19 has caused so many damages to the world’s economy. Analyst have reported that the major sectors to be impacted by this pandemic are:
•	Tourism & Leisure
•	Aviation & Maritime
•	Automotives
•	Construction & Real Estate
•	Manufacturing (non-essentials)
•	Financial Services
•	Education and Oil & Gas
Clearly, we can justify why these sectors will be affected. In Nigeria, liquidity will be the first challenge. People will sell properties including land just to be liquid even at ridiculously low prices.
Businesses will fold up and their buildings will be unoccupied for a long period of time, non-essential workers will lose their job and there would be low purchasing power.
With all these and other explicit effect of recessed economy, house prices will drop significantly.
As a data scientist, before you make moves to propose a solution, you need to understand the problem. This month’s challenge will focus on the following tasks:
1.	Perform in-depth descriptive analysis and present your findings in a PowerPoint presentation file. Ensure your report includes the following:
a.	What the task is
b.	The approach
c.	Findings
d.	Proposed machine learning solution
2.	Execute your proposed Machine Learning solution by predicting house prices and submit your result on Kaggle competition page.
The question I would personally love to get answered is “Is this the best time to buy properties? if Yes, what part of the country is the most optimal?”

Learning Rewards
1.	Knowledge
2.	Gift vouchers for grab
3.	Participation in A.I. acceleration training from Ernst & Young Team
Let the doers rejoice