Statistical Model to Predict the Optimal Price for Airbnb Listings

Repo for: Predicting Airbnb prices - IBM's Data Science Professional Certificate Capstone

MUZBNB is a vacation rental solution with contemporary features to manage all your rental bookings. Seamlessly get reservations & payments online. Easy way to manage bookings. MUZ is a trending & effective choice for business owners to start business quickly on online marketplace. An online marketplace that enables people to list, find, then ren…

Bali Airbnb

Airbnb clone of official Airbnb website as at 25 - 01 - 2019.

AirBnB_clone_v4 | ALX Software Engineering Program

TravelCity, the Modern & Sleek Way to Plan Out Your Next Trip with Less Than 3 Clicks. Handle Your Holiday with Our Newsroom, Community Forum, About Page, Support, Dynamic Flights, Destination Information, Exclusives & Enjoy Exciting Stories Told by Our Customers

Metalsmith blog template. It rocks. Not maintained 😞

This machine learning model utilizes supervised learning to predict the daily rental price for Airbnb properties!

LibertyHub is a WebPage made for helping people find the best accomodation in New York based on people reviews.

☕ 🤖 The Dave's onboarding story @ "Lavazza Digital Platform Specialist"

https://requisitos-2018-2.github.io/airbnb/

A comprehensive statistical analysis of Airbnb listings in Mallorca across four time periods, exploring price trends, review distributions, and the application of Zipf's Law to user comments.

Análisis de datos de Airbnb en la Ciudad de México para identificar las mejores zonas y tipos de habitación para invertir, basado en precios, reseñas y disponibilidad.

An archive of the website I made for my parents AirB&B business. New repo: https://github.com/seanpm2001/AirBnB

Clone Airbnb with Tailwind CSS

The ALX-Holberton AirBnB is an implementation of my python knowledge during my Full-stack software engineering program. The goal of the project is to deploy a replica of the Airbnb Website using my server.

Staybnb is Airbnb Clone Designed using HTML CSS JS only by following https://www.youtube.com/@EasyTutorialsVideo tutorial

Explore hot cities above 25 degrees: climate, safety, and affordable travel options

This project focuses on how pricing of AirBnB houses differ according to neighborhoods. It also looks on how important the description of the house is and how a customer is swayed by it. The Data set has been taken from Kaggle.