Welcome Data Scientist to the 4th SDS Club Monthly Challenge! In this month’s challenge you have been hired by a hostel company to help them determine a fair price for their new hostels based on previous hostel data. Your mission to predict the price of each hostel based on the data provided.
Understanding the Dataset
In the dataset there are 65 unique columns. Each column is properly and descriptively named in the dataset.
public_listings.csv – Dataset to train and analyze
pred_listings.csv – Dataset to predict listings’ prices
All submissions should be sent through email to email@example.com. When submitting, the file should contain predictions made on the pred_listings.csv file, and it should have the following format:In [ ]:
150.00 95.00 80.00 105.00 72.00
The data was scraped and collected by Inside Airbnb from publicly available information on the Airbnb site.