Analysis of a portfolio of residences for sale in King County, USA, to answer the questions: which properties should the company buy, how long wait before selling them, and what would the selling price be?

A Real State Analyzer which scrap data from web pages, elaborate reports and predict prices

This project demonstrates a machine learning approach to predict house prices in California using the California housing dataset from the Seaborn library. The primary goal is to build a robust model that can estimate the median house values based on various features like median income, house age, and geographic location.