Harvard Project - Accuracy improvement by adding seasonality premium pricing

Descriptive analysis of Airbnb data from Seattle, Boston and Copenhagen

This project analyzes the Airbnb Seattle Open Data from the aspects of listings types, location, reviews and prices.

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

Fourth project of data scientists nanodegree

Predict Airbnb listing price in Amsterdam, The Netherlands

Analysing Airbnb guests' reviews using text mining and sentiment analysis.

This is my final project for the Diplomado en Inteligencia Artificial y Aprendizaje Profundo

Airbnb Seattle data exploration and pricing prediction

Statistical Model to Predict the Optimal Price for Airbnb Listings

🗺️ 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.

Airbnb-NYC dashboard made on tableau

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

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. ★⤸

Este repositorio corresponde a la tesis de Master en Big Data realizada en Universidad ORT, con Joaquin Rama y Ana Laura Cuitiño.

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.