Molo-M/Kenya_Real_Estate_Prices_Prediction

Data Science project to analyze the Kenya Real Estate Market and create Machine Learning Models to predict prices. # Kenya Real Estate Prices Prediction This is an independent Data Science project where I will assume the role of a Data Scientist working for a brokerage company intending to enter the Kenyan Real Estate market. I am tasked with predicting the prices of real estate property that are up for sale in Kenya. For the past two decades, the Kenyan real estate market has experienced significant growth as evidenced by the hundreds of properties that are placed online to be sold for prices up to 31,965,442 US dollars. General prices of real estate property can be influenced by a number of factors such as the population density or the property location. If the company can predict the prices ahead of time, it will be better positioned in the market to help customers buy the right properties and maximize their returns.This will dramatically increase customer confidence in the company’s offerings and place it above other competitors.