Project
Improve a car company’s pricing strategy
Help a Japanese car company re-enter the US market. On their previous attempt, sales were too low as consumers found their cars to be overpriced. They’ve asked for your help using machine learning to determine what factors can inform price-setting for the US market.
Python 90 Minutes 1.5 CPE/CPD Credits
Project Steps Involved
1. Akashi’s failure to launch
2. Reading and understanding the data
3. Picking the predictor features
4. Building and evaluating the model
5. Checking the residuals
6. Running parametric regression models
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