Posts about real estate

Using Object Detection in Real Estate for Home Price Estimation

Judging the price of a property accurately is one of the most crucial factors in real estate businesses. Buyers access several aspects before purchasing a property. The characteristics that influence a home sale price will generally include the square footage area, location, number of rooms, and the interiors of the house. Other factors that influence the appeal are streets around the house, safety of the area, and its access to commercial businesses, schools, and hospitals. 

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Structured vs. Unstructured Data: What’s the Difference?

Businesses run on data. Data is so integrated into our daily lives that, most of the time, we don’t even realize just how often we use it to perform basic tasks and make decisions. Some of the ways we use data on a regular basis include:

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Machine Learning in Real Estate- 5 Use Cases

Buying a new property involves both financial risk and emotional quotient. Earlier, people used to spend a lot of time to shortlist and finalize their dream property. But in the era of digitization, the entire process has become highly streamlined, automated and accurate. The real estate business is much more than just a ‘perfect house’ in an exotic location. It deals with huge volumes of data in terms of buyer/seller preferences, financial and risk-taking capabilities, etc. The real estate business is leveraging the power of machine learning to reap tangible benefits. By embracing emerging technological trends the industry is able to cater to the rapidly changing consumer demands.

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