Airbnb price prediction using linear regression in Python
FairBnB is our imaginary AirBnb property management company. It helps customers renting out their properties at the correct price, manages customers, and offers cleaning services. FairBnb has to precisely judge what type of properties to take on and what price point to rent out the properties at, and consider what is their break-even point for each property considering FairBnb's expenses.
To help make all these business decisions FairBnb has decided to explore AirBnb's listing data for properties in the city of London. FairBnb would like to automate the price prediction, by creating a model which would take all necessary factors into a consideration.
To create the model, FairBnb first has to prepare and analyze the data, to see possible correlations between different factors.
Note: Originally this project was done in R and in this notebook, I used Python to recreate what we have done in R(The project in R can be found on the list of my repositories).