The main objective of this project is to make a model that predicts the price of a listing, given its attributes. Several subtasks can be spawned from this objective. The main categories are:
● Explore the given data. See what they describe and gather valuable insights about their properties.
● Preprocess the data so that they can be used for predicting the listing price.
● Model the data through the sklearn estimators or Azure services
The dataset is provided in a file called listings.csv and contains nominal information about the listings, like its neighbourhood, its description, amenities, bedrooms, bathrooms and more.
This project requires Python 3.7 and the following Python libraries installed:
- Clone this repository.
- Install
Python 3.7or older versions - Ensure all libraries are installed using
pip install <library> --user
This repository azureai-2021-team1 includes 1 main directory and 4 Notebooks:
- help_functions: A directory conaints supportive functions
- Deliverable01.ipynb: A notebook containing the answers to the aforementioned questions about EDA
- Deliverable02.ipynb: A notebook containing extra EDA
- Deliverable03.ipynb: A notebook showing the preprocessing steps
- Deliverable04.ipynb: A notebook containing the production-level code
- jvario,podysseas,vmoulop,katerpont & antonesgiouris - Initial work - jvario -podysseas -vmoulop -katerpont -antonesgiouris
This project is licensed under the MIT License - see the LICENSE file for details