Agoda is an online booking website with thousand of rooms in all over the world and in project i will use linear regression to predict the prices of the rooms in future based the most imptrant charactreistics the affect its value in the hotel
Can this model really predict rooms prices?
Based on specific rooms features?
The data to be tested in this project is scraped from Agoda.com
Software platform: Jupyter Notebook
Programming language: Python
Includes libraries:
- sklearn.model_selection
- statsmodels.api
- sklearn.metrics
- statsmodels.formula.api
- sklearn.linear_model
- Pandas
- Numpy
- Seaborn
- Matplotlib