Certified
Self-directed project
Machine Learning for Automotive
AI / ML · June 2026
84/ 100
A ProoV case study · educational project, not employment
A verified, self-directed industry project — completed and passed a real industry rubric at 84/100 on ProoV.
Graded against
- Exploratory Data Analysis20%
- Feature Engineering25%
- Model Building & Evaluation35%
- Business Communication20%
Passed · pass mark 60/100
What stood out6
- Compared VW and Audi listings directly with brand-aware visualizations and a boxplot to surface pricing differences.
- Identified and explained key pricing drivers such as mileage, vehicle age, and engine size.
- Provided a quantified executive summary with model performance gains and a concrete CPO recommendation.
- Exploratory Data Analysis
- Feature Engineering
- Model Evaluation
The work I submitted2 tasks
1 task · 2 lines · 1 written answer · 1 word
- Jupyterlite Code2 lines
- Jupyterlite Code1 word
Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.