Concrete strength predictor

The brief

Site engineers wait 28 days for cube test results. Predict concrete compressive strength from the mix proportions and age, compare regression models, and show which ingredients matter most. Good looks like: honest validation, models compared with a linear baseline, and explanations that match civil engineering knowledge.

What you will build

1. Explore the mix ingredients and strength
2. Engineer features such as the water-cement ratio
3. Train linear, tree-based and boosted models
4. Validate with cross-validation
5. Explain the main drivers

Free, open data to build it with

• Concrete compressive strength ↗ UCI Machine Learning Repository

Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.