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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.
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
🗺️ Istanbul Airbnb Price Prediction on Interactive Map
Descriptive analysis of Airbnb data from Seattle, Boston and Copenhagen
Airbnb-NYC dashboard made on tableau
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. ★⤸
Analysing Airbnb guests' reviews using text mining and sentiment analysis.
This is my final project for the Diplomado en Inteligencia Artificial y Aprendizaje Profundo
Este repositorio corresponde a la tesis de Master en Big Data realizada en Universidad ORT, con Joaquin Rama y Ana Laura Cuitiño.
This project analyzes the Airbnb Seattle Open Data from the aspects of listings types, location, reviews and prices.
Airbnb Seattle data exploration and pricing prediction
Pengolahan Dataset dan Analisis Tren Harga Sewa Properti AirBNB Menggunakan Cloudera Hadoop
Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.
Fourth project of data scientists nanodegree
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.
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