Analysis Of New York City Airbnb Listings Dataset Using Python
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Updated
Oct 16, 2023
Analysis Of New York City Airbnb Listings Dataset Using Python
A Data analytics/viz study on the Barcelona airbnb listings
Fourth project of data scientists nanodegree
Analysis and Prediction of Airbnb Listings' Yields in NYC.(Using Python)
Data analysis, recommendation system & sentiment analysis for Airbnb listings in Athens, Greece
My analysis using a linear model to predict Airbnd price.
Exploring the Airbnb London dataset to find any interesting information as well as predicting the rent prices of different accommodations listed on the Airbnb platform in London
In this project I use Python to analyze the Airbnb market in New York City.
A deep dive analysis into the Boston Airbnb open source data
Explored and analyzed Airbnb New York City data
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Explored common words and themes in Airbnb listing descriptions to better understand the characteristics of successful listings
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.
This project is intended to find two things: 1) how crime rate at a particular neighborhood influences the listing price of Airbnb. 2) how safe a neighborhood is where the Airbnb listing is located
A sample dataset of over 1000 Airbnb listings, extracted using the Bright Data API, ideal for competitor tracking, brand reputation, and market analysis.
Feature engineering and modelling to predict the high booking rate of an Airbnb listing.
This Repo contains the Airbnb Market Analysis Dashboard developed in Tableau
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