A workflow that estimates Airbnb pricing and predict the rental properties annual revenue based on the characteristics of the Airbnb.
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Updated
Oct 16, 2022 - R
A workflow that estimates Airbnb pricing and predict the rental properties annual revenue based on the characteristics of the Airbnb.
Investigating the effect of Valentine's Day on Airbnb listings in Paris, Madrid and Rome
Estimating the effect of Hawaiian AirBnB listing characteristics, the time until the booking starts (in days) and the season on the price per night.
This repository is created by Team 08 for the course Data Preparation and Workflow Management, taught at Tilburg University for the MSc Marketing Analytics. This project will research the price mark-up on the prices of Airbnb's in New Orleans during festivals.
Team assignment by team 8 for the course 'Data Preparation & Workflow Management' which examined how New Year's Eve affects Airbnb prices and the bookings of Airbnb's.
This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.
As a customer or a potential investor who lists properties on Airbnb, one would always be interested in determining the quality of the listing. The rating score is one of the indicators which every stakeholder looks forward to, in order to gauge this metric. It is often observed that this is not an accurate indicator.
Short-term rental market analysis and visualisation.
R code to predict the AirBnB property price using Linear Regression model . This would help AirBnB firm to predict prices of the property customer want to rent out based on the amenities present and show it to the customer while booking a property. This helps company promote better customer centric experience.
regression modeling for strategic price estimation of airbnbs during pre-covid period in Singapore
Exploratory Data Analysis : Airbnb Tokyo. An exploratory data analysis self project (unguided)
A series of R programs to create initial listings and grab prices from Airbnb web app and save to .csv file
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