The purpose of this data science project is to come up with a pricing model for ski resort tickets in our market segment. Big Mountain suspects it may not be maximizing its returns, relative to its position in the market. It also does not have a strong sense of what facilities matter most to visitors, particularly which ones they're most likely to pay more for. This project aims to build a predictive model for ticket price based on a number of facilities, or properties, boasted by resorts (at the resorts). This model will be used to provide guidance for Big Mountain's pricing and future facility investment plans.
While clicking on the below links for the detailed working of this project, please ensure that you open in a new window by right-clicking and then opening it so that this summary notebook remains open. The data sometimes may not load properly in the new window, so please reload it until it shows properly.
- For Data Wrangling Notebook, click here
- For Exploratory Data Analysis, click here
- For Preprocessing and training data, click here
- For Price Modeling and Algorithm, click here
==>> While clicking on the above links for the detailed working of this project, please ensure that you open in a new window by right-clicking and then opening it so that this summary notebook remains open. The data sometimes may not load properly in the new window, so please reload it until it shows properly.
