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.

A workflow that estimates Airbnb pricing and predict the rental properties annual revenue based on the characteristics of the Airbnb.

Interactive Shiny dashboard analyzing Airbnb trends in the U.S., featuring visual insights into pricing, room types, and geographical patterns.

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.

Predictive Analysis of Price on Amsterdam Airbnb Listings Using Ordinary Least Squares.

Evolution of Airbnb rentals 🏠🛏️

Estimating the effect of Hawaiian AirBnB listing characteristics, the time until the booking starts (in days) and the season on the price per night.

ML price prediction and cluster analysis on Kaggle competition NY Airbnb open data. Linear regression, Decision trees, Random Forest, Ranger RF, Neural Networks, K-mean, PCA, Hierarchical Clustering

It's a repository to analyse how the number of reviews affect review score and how does it differ between big and small cities in Spain.

R project that analyzes Airbnb user trends during COVID-19 pandemic 2020

R project. Output: a Rshiny web app that analyzes thousands of Airbnb France data (Paris, Lyon, Bordeaux). Skills: web app design (Rshiny), data cleaning and preparation (dplyr, lubridate), data visualization (ggplot2), maps (leaflet) and kmeans clustering.

team-assignment-team-4 created by GitHub Classroom

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.

Analysing Airbnb guests' reviews using text mining and sentiment analysis.

Exploratory Data Analysis : Airbnb Tokyo. An exploratory data analysis self project (unguided)

Final Project for GAFL 531

Investigating the effect of Valentine's Day on Airbnb listings in Paris, Madrid and Rome

Data Analytics project from the class "Data Analytics" of ECE PARIS master' degree of "Big Data & Analytics".

A group research paper exploring multiple regression techniques to predict the rental prices of Airbnb locations in Santa Clara country, CA.