Some notebook using Inside Airbnb data (Bologna, Italy)

Airbnb Influence on NYC Housing Values (Python, Jupyter Notebook, R)

🏡📈 A simple data mining python notebook for the 2019 AirBnb dataset

Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.

A data analysis of Airbnb apartment and house listings in Seattle using Python Pandas Dataframes and Jupyter Notebooks.

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

Neste notebook, iremos analisar os dados referentes à região metropolitana de Lisboa e ver quais insights podem ser extraídos a partir de dados brutos.

This Project is a research on AirBnB house price prediction of 5 States in the USA. It Contains a Jupyter notebook which gives a detailed analytics of the house prices.

Data cleaning and preprocessing project for the Airbnb NYC dataset from Kaggle. This repository documents the process of handling missing values, removing duplicates, and addressing inconsistencies. The cleaning workflow is detailed in a Jupyter Notebook for clarity.

Airbnb-Income-Analysis es un proyecto que utiliza Jupyter Notebook para analizar y reportar los ingresos de propiedades alquiladas en Airbnb. Incluye conversión de moneda, visualizaciones de ingresos y generación de informes HTML, basado en datos CSV de Airbnb.

A data exploration project from the University of Michigan that delves into Airbnb listings in New York City. Using Python and Jupyter Notebook, this repository offers visualizations, analyses, and insights into the NYC Airbnb landscape, helping users understand trends, prices, and popular locations.

Airbnb is an online marketplace for arranging or offering lodging, primarily homestays, or tourism experiences since 2008. NYC is the most populous city in the United States and also one of the most popular tourism and business place in the world. Airbnb NYC 2019 data contains listing activity and metrics. The dataset has been taken from https:/…

Udacity write a data scientist blog project

Data visualization dashboard in Python from Jupyter Notebook using Open source visualisation tool Panel

In the following notebook, I performed an Exploratory Data Analysis of a dataset related to Airbnb lisitngs in San Francisco

The repository includes the Jupyter notebook containing price prediction of Berlin AIRBNB property using Random Forest Regressor and XGBOOST Regressor. It also includes the exploratory data analysis and NLP on the reviews given by the customer.

Setting up AWS S3 and Getting Data into Databricks notebook. Then doing engineering and analysis with Python, Spark and SQL

This repository publishes notebooks created as part of an analysis of the 2020 COVID-19 crisis onto the economy, performed by a team of data scientists from IBM and Rolls-Royce for Emergent Alliance.