Price Recommender for Airbnb hosts applying Xgboost

Statistical Inference W4702 Final Project

Airbnb Automated Classification System

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

A classifier to determine if Superhost or Not SuperHost for Airbnb listings based on reviews

My analysis using a linear model to predict Airbnd price.

Descriptive analysis of Airbnb data from Seattle, Boston and Copenhagen

Find the travel dates for best budget ski trip & Airbnb listing price prediction

Analyzing the text of Airbnb property listings and building two different Search Engines that, given as input a query, return the houses that match the query.

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.

This repository contains the code and methodology for building a recommendation app to recommend listings to users based on experiences of other similar users.

AirBnB host can optimize their house price based on the amenities they provide. This will make their increased ROI.

Data exploration on the airbnb panorama of the 2 biggest portuguese cities using publicly available scraped data

Fourth project of data scientists nanodegree

A deep dive analysis into the Boston Airbnb open source data

Airbnb listings in NYC

🏠 📊 A data analysis notebook along with a recommendation system for Airbnb listings in Athens, Greece

This is a project from my Data-Driven Decision Making class at NYU Stern in Spring 2020. The repository contains pieces of code involved in the project, as well as some screenshots from JMP Pro, but it is not an exhaustive list of everything my group and I did.

A repository for analysis and insights on Seattle and Boston AirBnB data