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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
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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

Prerequisite Courses

Machine Learning in Python

Advanced Regression

Machine Learning in Python

Regression Analysis in Python

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