Oslo listing market exploration using Airbnb data

project-JinghuaWang created by GitHub Classroom

Analysis of AirBnB data for the neighborhood of Xochimilco in Mexico City.

Analysis on Melbourne AirBnB Open Data

Analyzing Airbnb's public data from Toronto, Canada.

Data analysis for the Airbnbs located in Athens in 2019

For this project, I chose the Airbnb dataset of the city of Florence. Specifically, I attempted to answer the following questions using the most popular Natural Language Processing techniques applied to review data: 1. How do guests experience their stay in Airbnb in Florence? 2. What are the main topics in guest reviews? 3. How best to predict …

Web app for simple visualizations of Airbnb data

This repository contains visualizations for two data visualization projects: one focused on Netflix data and the other on Airbnb data. The goal of these projects is to create compelling visualisations that help uncover insights and patterns in the data.

This repository contains code and analysis for two data cleaning projects: one focused on data science job data and the other on Airbnb data.

In the project, I use a NLP technique -- sentiment analysis on Airbnb review data and make some visualization out of the result.

In this notebook, we will look at performing Exploratory Data Analysis on the Airbnb dataset available on Kaggle.

the best airbnb clone which allows you to choose a property from 100s of options. choose your dates and pay with visa or mastercard

Some notebook using Inside Airbnb data (Bologna, Italy)

analyze Airbnb data using MongoDB Atlas, perform data cleaning and preparation, develop interactive geospatial visualizations, and create dynamic plots to gain insights into pricing variations, availability patterns, and location-based trends.

Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.

Learn how to scrape Airbnb search results and listings on a large scale without blocks.

This project is an Airbnb clone that leverages cutting-edge web technologies, including React, Next.js, MongoDB, Prisma, NextAuth, and Tailwind CSS. ⤹★ NOTE: THE DEVELOPMENT IS REMOVED FOR SOME REASONS. ★⤸

Binary Classification: Predicting whether Airbnb listings will have a high booking rate.