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
- Correctly compared Linear Regression against Random Forest using business-relevant metrics and identified the stronger model.
- Identified key pricing drivers such as mileage, car age, and engine size.
- Provided a practical CPO recommendation tied to pricing workflow and exception handling.
- Data-Driven Decision Making
- Feature Engineering
- Model Evaluation
The work I submitted10 tasks
5 tasks · 6 lines · 5 written answers · 194 words
- VW Sprint1 Complete56 characters
- VW Sprint2 Complete61 characters
- VW Sprint3 Complete59 characters
- VW Business Insights1.4k characters
- Jupyterlite Code2 lines
- VW Sprint1 Complete1 word
- VW Sprint2 Complete1 word
- VW Sprint3 Complete1 word
- VW Business Insights190 words
- 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.