Our research group wanted to take on the difficult task of predicting prices in a dynamic market. And short term rentals such as Airbnb listings seemed to be the perfect proving ground to do such a thing. Airbnb has revolutionized the travel industry by providing a platform for homeowners to rent out their properties to travelers. The pricing of Airbnb rentals is prone to high fluctuations, with prices changing frequently based on demand, seasonality, and other factors. Accurate prediction of Airbnb rental prices is crucial for hosts to optimize their revenue and for travelers to make informed booking decisions. In this project, we aim to predict the prices of Airbnb rentals using a machine learning modeling approach. Our project expands on earlier research in the area of analyzing Airbnb rental prices by taking a methodical machine learning approach as well as incorporating sentiment analysis into our feature engineering. We intend to gain a deeper understanding on periodic changes of Airbnb rental prices. The primary objective of this study is to construct an accurate machine learning model for predicting Airbnb rental prices specifically in Austin, Texas. Our project's secondary objective is to identify the key factors that drive Airbnb rental prices and to investigate how these factors vary across different locations and property types.
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Airbnb https://zh.airbnb.com/?af=83334047 成立于 2008 年 8 月,总部位于加利福尼亚州旧金山市。Airbnb 是一个值得信赖的社区型市场,在这里人们可以通过网站、手机或平板电脑发布、发掘和预订世界各地的独特房源。无论是想在公寓里住一个晚上,或在城堡里呆一个星期,又或在别墅住上一个月,都能以任何价位享受到 Airbnb 在全球 191 个国家的 34,000 多个城市为你带来的独一无二的住宿体验。