There are 1 repository under airbnb-pricing-prediction topic.
Statistical Model to Predict the Optimal Price for Airbnb Listings
AirBnB host can optimize their house price based on the amenities they provide. This will make their increased ROI.
Harvard Project - Accuracy improvement by adding seasonality premium pricing
:world_map: Istanbul Airbnb Price Prediction on Interactive Map
The purpose of this project is to predict the price of Airbnb rentals based on various features of the properties listed on the platform. The code in this repository is written in Python and uses several machine learning algorithms to train and test a predictive model.
Descriptive analysis of Airbnb data from Seattle, Boston and Copenhagen
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. ★⤸
This is my final project for the Diplomado en Inteligencia Artificial y Aprendizaje Profundo
Airbnb-NYC dashboard made on tableau
Analysing Airbnb guests' reviews using text mining and sentiment analysis.
This project analyzes the Airbnb Seattle Open Data from the aspects of listings types, location, reviews and prices.
Fourth project of data scientists nanodegree
Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.
Predict Airbnb listing price in Amsterdam, The Netherlands
Este repositorio corresponde a la tesis de Master en Big Data realizada en Universidad ORT, con Joaquin Rama y Ana Laura Cuitiño.
Airbnb Seattle data exploration and pricing prediction