Machine Learning in Real Estate: Predict House Prices with Just a Few Lines of Code using Python

In the real estate industry, accurately predicting house prices is crucial for both buyers and sellers. Traditional methods rely on experience, intuition, or outdated pricing models.

1. Scenario

Imagine you are a real estate analyst working for a property investment firm. Your company wants to estimate the price of houses based on their size (in square feet). Instead of relying on guesswork, you decide to use Linear Regression to build a model that predicts house prices based on historical data.