Problem Statement

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.

Evaluation

Understanding the Dataset

In the dataset there are 65 unique columns. Each column is properly and descriptively named in the dataset.

Dataset Files

public_listings.csv – Dataset to train and analyze
pred_listings.csv – Dataset to predict listings’ prices

Submission

All submissions should be sent through email to challenges@superdatascience.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

Acknowledgements

The data was scraped and collected by Inside Airbnb from publicly available information on the Airbnb site.