2021 post-covid California property price trend prediction


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Hi, we are team Rush Rush.

The project is for the 2021 post-covid California property price trend prediction competition.

With the outbreak of COVID-19, the real estate market is significantly impacted by numerous relocations, delays in new construction projects, and the transitions to remote working. Houses play a critical role in people's lives, which serve as an accommodation or as a commodity, and financial investment. Based on the data analytics results, there are several factors that affect property prices. Through the past trend analysis, potential stakeholders such as home buyers and investors can make some predictions regarding property prices during the Post-Covid period and make better decisions in acquiring homes or making property investments. Since many factors have only slight effects on property prices. Random forests are applied to fit the model. We use the official given dataset full_data2.csv from the GRMDS website.

The beautiful California banner image is from the website: https://www.shrm.org/resourcesandtools/legal-and-compliance/state-and-local-updates/pages/managing-coronavirus-related-leave-in-california.aspx

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

Average rating is 5.0 with 2 vote(s)


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