Final Project: Looking for Airbnbs in Los Angeles?
By: Krtin Juneja and Elizabeth Veilleux
This project focuses on data about Airbnbs in Los Angeles. We both love to travel and the next area we want to travel to is Los Angeles. We are searching for an Airbnb in the Los Angeles area that we can rent. Since we are college students we tend to not have the biggest income coming in so we want to find an Airbnb that is rather cheap. This led us to thinking about what factors play a role in Airbnb prices increasing. Is it the amount of bedrooms? How about the average rent price of the area? Or maybe just the area or room type? We want to determine this with the data we currently have available to us. SO, we will be running a multiple linear regression to see what does contribute to the price of an Airbnb in Los Angeles along with creating an Airbnb price predictor with machine learning. Additionally, we will see if certain neighborhoods tend to have significantly higher prices.
About the Datasets:
We have a dataset dealing with Los Angeles Airbnb data. The listings dataset gives various details about the Airbnb rental itself along with host information. Additionally, we have a dataset with rent prices for LA neighborhoods from 2010-2016 (we will be focusing on just 2016 data). This rent prices dataset is useful because it provides rent amounts for LA neighborhoods which we can utilize as a predictor since it gives some insight on how real estate and cost is normally for the area. However, it is important to note that the Airbnb data is from 2020-2021 so there will be some discrepancies as the rent would definitely be hire in 2020-2021 due to factors like inflation.