A study about real estate driven by data

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In this study, through the establishment of xgboost model, we identify the main characteristics that affect house prices. Through the establishment of multi group comparison and variance analysis, we found the areas with investment value. Pearson model was established to analyze the data. Elastic net is used to study the relationship between the number of bedrooms and house price.

Language: R
Are you a contestant for RMDS 2021 Data Science Competition? Yes, I am a contestant from China
Collaborators: liuliu
Type: Real Estate
Release Date: Jun 13, 2021
Last Updated: Jun 14, 2021

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