A Look at Linear Regression with Examples in Excel and Python
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A World Run On Algorithms
Data Science is a fascinating field that aims to solve challenging problems like autonomous vehicles and artificial intelligence (AI). Recently, AI and data science has been in the news as real estate company Zillow Group shut down its home buying program that used predictive analytics to forecast the price of homes months into the future. Although they could have spent more resources tuning their algorithm, they found the potential risks outweighed the benefits.
In practice, predicting the price of homes months into the future is certainly a challenge, even for the most sophisticated algorithms. However, at its core, predicting a home’s value is simply a regression problem since a home’s price is a continuous variable based on many independent variables like rooms, location, year built, etc... Even simple linear regression, one of the simplest algorithms, can be used to price homes.
