RMDS 2021 second quarter data science competition: California real estate price trend forecast in the post epidemic Era

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With the arrival of covid-19, the wave of relocation, the delay of new building construction, and the transition of working mode to remote have impacted the real estate market. In the post epidemic era, the economic structure of the real estate market may have changed. Based on the "California house price" data set provided by the RMDS community, a machine learning model is applied to implement the housing price prediction task. To detect infludential facotors, a linear regression analysis was utilized to recognize the factors affecting house prices and how they affect house prices; Nonlinear models, such as the random forest model, Xgboost model, AdaBoost model, were used for prediction.

Language: Python
Are you a contestant for RMDS 2021 Data Science Competition? Yes, I am a contestant from China
Type: Financials
Release Date: Jun 12, 2021
Last Updated: Jun 12, 2021

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