Wei Liu

Project Overview

Data from Beijing Homelinks second-hand house data set. It collected information such as community name, house age, house type, square meter, floor number, subway station, distance from the subway station, unit price, total price, etc. The project is to establish a housing price prediction model to predict the housing price of a house.

My Job

I did data wrangling to get the feature data, data cleaning to remove nil values and duplicated values, and then data transformation was performed to get all the numerical data that the machine needed. Following that, I built and tested some models using different algorithms to find the best model. After that, I used grid search to find the suitable parameters. At the end, I saved the best model for future prediction.